A Mobile Ad-hoc Network (MANET) has a collection of numbers of wireless nodes which is each device in
MANET having ability to free to move in any direction so that it is useful in all applications. In MANET
nodes change position quite frequently, this means that we have need routing protocols that quickly adapts
to topology changes. An ad-hoc network is self-organising and distributive in manner. The MANET is
works as router so that linked with the other nearest devices. A mobile ad hoc network (MANET) is a
wireless network follows the multiple hop routing instead of static network infra to provide network
connectivity. Each device in a MANET is free to move independently in all direction freewaysand will
therefore nodes change position in large networks all routing protocols. The routing protocols are needed
for conveying information in Ad-hoc network there are various performance parameters to compare the
Ad-hoc routing protocols.
My area of interest in this paper to analyze the different performance parameters Recent research has
focused on simulation studies with mobility and non- mobility scenarios to investigate and improve routing
protocols. we have simulate the all three routing protocols in mobility as well as non-mobility scenario
with nodes up to 300 also plot the graphs throughput, Delay, PDR, Dropping Ratio, and average energy
consumption by using Network Simulator version 2.34. ).
Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, Ad hoc on demand multipath routing protocol, Dynamic source routing are optimized versions of distance vector or link state routing protocols. In this paper, existing protocols such as DSDV, AODV, AOMDV, OLSR and DSR are analyzed on 50 nodes Mobile Ad Hoc network with random mobility. Packet delivery ratio, delay, control overhead and throughput parameters are used for performance analysis.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Analysis of data transmission in wireless lan for 802.11 e2 eteSAT Journals
Abstract The aim of this paper is to investigate the transmission of data between client and server through different IEEE 802.11 wireless LAN multi- HOP network. To improve this issue, the transmission opportunity (TXOP) mechanism is defined in the IEEE 802.11e standard, with which a wireless node can transmit multiple frames consecutively for a maximum channel occupancy time, called TXOP limit. This paper considers the performance of the TXOP mechanism for multi-hop wireless networks. Focusing on a three-node chain topology, we model it as a tandem queuing network with two nodes. The E2ET is derived and the analysis is validated by simulation. Numerical results show that the TXOP mechanism works well for multi-hop wireless networks. It is also shown that adjusting TXOP limit is significantly important in order to increase the overall throughput. In terms of multi-hop wireless networks, there is little analytical work with regard to the E2ET performance. One of the rationales for the analytical difficulty for multi-hop wireless networks is that IEEE 802.11 MAC protocol is too complex to model the behavior of multi-hop frame transmissions. Keywords: IEEE 802.11e, multi-hop wireless LAN, TXOP, E2ET
PERFORMANCE COMPARISON AND ANALYSIS OF PROACTIVE, REACTIVE AND HYBRID ROUTING...ijwmn
Wireless Sensor networks are a challenging task due to the lack of resources in the network as well as the frequent changes in network topology. Various routing protocols are designed basically to establish correct and efficient paths between source and destination. In the recent years, several routing protocols
have been proposed in literature and many of them studied through extensive simulation at different network characteristics. In this paper, we compare the performance of three most common routing protocols of wireless sensor networks i.e. AODV, DSDV and ZRP. These protocols have been simulated
using NS2 Package. This study investigates the routing protocols corresponding to packet delivery ratio, packet loss ratio, average throughput, dropped packets and end-to-end delay. Hence, evaluation and comparison between routing protocols is required because performance of any routing protocol can be changed with various parameters such as speed of nodes, pause times and number of nodes.
ZigBee has been developed to support lower data rates and low power consuming
applications. This paper targets to analyze various parameters of ZigBee physical (PHY).
Performance of ZigBee PHY is evaluated on the basis of energy consumption in
transmitting and receiving mode and throughput. Effect of variation in network size is
studied on these performance attributes. Some modulation schemes are also compared and
the best modulation scheme is suggested with tradeoffs between different performance
metrics.
Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, Ad hoc on demand multipath routing protocol, Dynamic source routing are optimized versions of distance vector or link state routing protocols. In this paper, existing protocols such as DSDV, AODV, AOMDV, OLSR and DSR are analyzed on 50 nodes Mobile Ad Hoc network with random mobility. Packet delivery ratio, delay, control overhead and throughput parameters are used for performance analysis.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Analysis of data transmission in wireless lan for 802.11 e2 eteSAT Journals
Abstract The aim of this paper is to investigate the transmission of data between client and server through different IEEE 802.11 wireless LAN multi- HOP network. To improve this issue, the transmission opportunity (TXOP) mechanism is defined in the IEEE 802.11e standard, with which a wireless node can transmit multiple frames consecutively for a maximum channel occupancy time, called TXOP limit. This paper considers the performance of the TXOP mechanism for multi-hop wireless networks. Focusing on a three-node chain topology, we model it as a tandem queuing network with two nodes. The E2ET is derived and the analysis is validated by simulation. Numerical results show that the TXOP mechanism works well for multi-hop wireless networks. It is also shown that adjusting TXOP limit is significantly important in order to increase the overall throughput. In terms of multi-hop wireless networks, there is little analytical work with regard to the E2ET performance. One of the rationales for the analytical difficulty for multi-hop wireless networks is that IEEE 802.11 MAC protocol is too complex to model the behavior of multi-hop frame transmissions. Keywords: IEEE 802.11e, multi-hop wireless LAN, TXOP, E2ET
PERFORMANCE COMPARISON AND ANALYSIS OF PROACTIVE, REACTIVE AND HYBRID ROUTING...ijwmn
Wireless Sensor networks are a challenging task due to the lack of resources in the network as well as the frequent changes in network topology. Various routing protocols are designed basically to establish correct and efficient paths between source and destination. In the recent years, several routing protocols
have been proposed in literature and many of them studied through extensive simulation at different network characteristics. In this paper, we compare the performance of three most common routing protocols of wireless sensor networks i.e. AODV, DSDV and ZRP. These protocols have been simulated
using NS2 Package. This study investigates the routing protocols corresponding to packet delivery ratio, packet loss ratio, average throughput, dropped packets and end-to-end delay. Hence, evaluation and comparison between routing protocols is required because performance of any routing protocol can be changed with various parameters such as speed of nodes, pause times and number of nodes.
ZigBee has been developed to support lower data rates and low power consuming
applications. This paper targets to analyze various parameters of ZigBee physical (PHY).
Performance of ZigBee PHY is evaluated on the basis of energy consumption in
transmitting and receiving mode and throughput. Effect of variation in network size is
studied on these performance attributes. Some modulation schemes are also compared and
the best modulation scheme is suggested with tradeoffs between different performance
metrics.
Mobile Relay Configuration in Data-Intensuive Wireless Sensor with Three Rout...IJERA Editor
Wireless sensor network are increasingly used in data-intensive applications such as micro-climate monitoring,
precision agriculture and audio/video surveillance. A key challenges faced by data-intensive wsn’s is to transmit
all the data generated with an application’s lifetime to the base station despite the fact that sensor nodes have
limited power supply. We propose using low-cost disposable mobile really and our work in the following
aspects First, it does not require complex motion planning of mobile nodes. Second we integrate the energy
consumption due to both mobility and wireless transmission. Our framework consists of first algorithm
computes an optimal routing tree. The second, we integrate the energy consumption due to both mobility and
wireless transmissions .The second algorithm improves the topology of the routing tree by greedily adding new
nodes. The third algorithm improves the routing tree by relocating its nodes without changing its topology.
Frequently forming a network topology without the use of any existing network infrastructure. We compare the
performance of the three prominent routing protocols for the mobile relay is Adhoc on Demand Distance Vector
(ADVO), Destination Sequenced Distance Vector (DSDV) and Temporally Ordered Routing Protocols (TORA).
We have chosen four performance metrics such as Average Delay, Packet Delivery Fraction, Routing load and
varying Mobility nodes, simulation for the popular routing protocols AODV, DSDV, and TORA. The
simulation is carried out on NS-2. The performance differentials are analyzed using varying network size and
simulations times. The simulation results confirm that ADVO performs well in terms of Average Delay, Packet
Delivery Fraction. As far as routing load concers TORA performs well.
ENHANCEMENT OF OPTIMIZED LINKED STATE ROUTING PROTOCOL FOR ENERGY CONSERVATIONcscpconf
Mobile Ad-hoc network (MANET) is infrastructure less network in which nodes are mobile, self
reconfigurable, battery powered. As nodes in MANET are battery powered, energy saving is an
important issue. We are using routing protocol to save energy so as to extend network lifetime.
We have extended original Optimized Linked State Routing (OLSR) protocol by using two
algorithms and named it as Enhancement in OLSR using Residual Energy approach (EOLSRRE)
and Enhancement in OLSR using Energy Consumption approach (EOLSR-EC). To analyze
relative performance of modified protocol EOLSR-RE and EOLSR-EC over OLSR, we
performed various trials using Qualnet simulator. The performance of these routing protocols is
analyzed in terms of energy consumption, control overheads, end to end delay, packet delivery
ratio. The modified OLSR protocol improves energy efficiency of network by reducing 20 %
energy consumption and 50% control overheads.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Performance analysis on multihop transmission using arp routing protocol in i...eSAT Journals
Abstract
Mobile Ad Hoc Network (MANET) are becoming more and more important in the modern environment. It can be used instantly to connect to the local or remote network without using the pre-existing infrastructure. The mobile or user in the network can together establish the infrastructure. In order to improve the limited range of radio transmission, multiple network ‘hops’ are needed so that the communication between the mobiles can be establish. There are varieties of protocol that had been proposed for the hopping methods but most of them suffer from high overhead. This project proposed a new method of hopping protocol for IEEE 802.11b using the existing network protocol which is Address Resolution Protocol (ARP). The ARP message is used in the network to find the MAC address of the destination. This can also be done by having multi hops where the proposed method using ARP designed will make an intermediate node act as a router in order to find the destination address and forward the data successfully. In this proposed method, the data is directly passed to the intermediate node and the intermediate node will help to find the route to the destination and passed the data to the destination node. This will reduce the transmission time. From the simulation obtained, it proved that the proposed method using the ARP protocol can works well as the existing network protocol which is Ad Hoc On-Demand Distance Vector (AODV). The simulation is composed into two types of environment which are with and without obstacles. The throughput, the packet loss and the round trip time for various distances is simulated and the results shows that the performance of the proposed method using ARP is much better compared to the AODV.
Index Terms: Address Resolution Protocol (ARP), Ad-Hoc, 802.11 Wifi, Hopping
In Cognitive Radio Networks (CRN), Cooperative Spectrum Sensing (CSS) is
used to improve performance of spectrum sensing techniques used for detection of licensed
(Primary) user’s signal. In CSS, the spectrum sensing information from multiple unlicensed
(Secondary) users are combined to take final decision about presence of primary signal. The
mixing techniques used to generate final decision about presence of PU’s signal are also
called as Fusion techniques / rules. The fusion techniques are further classified as data
fusion and decision fusion techniques. In data fusion technique all the secondary users
(SUs) share their raw information of spectrum detection like detected energy or other
statistical information, while in decision fusion technique all the SUs take their local
decisions and share the decision by sending ‘0’ or ‘1’ corresponding to absence and presence
of PU’s signal respectively. The rules used in decision fusion techniques are OR rule, AND
rule and K-out-of-N rule. The CSS is further classified as distributed CSS and centralized
CSS. In distributed CSS all the SUs share the spectrum detection information with each
other and by mixing the shared information; all the SUs take final decision individually. In
centralized CSS all the SUs send their detected information to a secondary base station /
central unit which combines the shared information and takes final decision. The secondary
base station shares the final decision with all the SUs in the CRN. This paper covers
overview of information fusion methods used for CSS and analysis of decision fusion rules
with simulation results.
Wireless sensor networks (WSN) have been widely used in various applications.
In these networks nodes collect data from the attached sensors and send their data to a base
station. However, nodes in WSN have limited power supply in form of battery so the nodes
are expected to minimize energy consumption in order to maximize the lifetime of WSN. A
number of techniques have been proposed in the literature to reduce the energy
consumption significantly. In this paper, we propose a new clustering based technique
which is a modification of the popular LEACH algorithm. In this technique, first cluster
heads are elected using the improved LEACH algorithm as usual, and then a cluster of
nodes is formed based on the distance between node and cluster head. Finally, data from
node is transferred to cluster head. Cluster heads forward data, after applying aggregation,
to the cluster head that is closer to it than sink in forward direction or directly to the sink.
This reduction in distance travelled improves the performance over LEACH algorithm
significantly.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
EFFICIENT APPROACH FOR DESIGNING A PROTOCOL FOR IMPROVING THE CAPACITY OF ADH...IJCI JOURNAL
In Adhoc Network, prime issues which affects the deployment, design and performance of an Adhoc
Wireless System are Routing, MAC Scheme, TCP, Multicasting, Energy management, Pricing Scheme &
self-organization, Security & Deployment consideration. Routing protocols are designed in such a way that
it should have improvement of throughput and minimum loss of packets. Another aspect is efficient
management of energy and the requirement of protracted connectivity of the network. The routing
algorithm designed for this network should monitor the energy of the node and route the packet
accordingly. Adhoc Network in general has many limitations such as bandwidth, memory and
computational power. In Adhoc Network there are frequent path break due to mobility. Also time
synchronization is difficult & consumes more Bandwidth. Bandwidth reservations requires complex
Medium Access Control protocol. In this field the work of quantitative and qualitative metrics analysis has
been done. The analysis of protocol performance for improving the capacity of adhoc network using
probabilistic approaches of the network is yet to be proposed. Our probabilistic approach will cover
analysis of various computational parameters for different mobility structures. In our proposed method we
have distributed mobile nodes using Pareto distribution & formulated various energy models using
regression statistic.
PERFORMANCE ANALYSIS AND COMPARISON OF IMPROVED DSR WITH DSR, AODV AND DSDV R...ijp2p
Mobile Ad-hoc networks are categorized by multi-hop wireless connectivity and numbers of nodes are
connecting each other through wireless network. It includes several routing protocols specifically designed
for ad-hoc routing. The most widely used ad hoc routing protocols are Ad-hoc On Demand Distance Vector
(AODV), Destination Sequence Distance Vector (DSDV), and Dynamic Source Routing (DSR). In this
paper, we present an analysis of DSR protocol and propose our algorithm to improve the performance of
DSR protocol by using small delay applied on last route ACK path when an original route fails in Mobile
Ad Hoc networks. Past researchers the MANET have focused on simulation study by varying network
parameters, such as network size, number of nodes. The simulation results shows that the M-DSR protocol
having some excellent performance Metrics then other protocols. We have taken different performance
parameters over the comparison of Modified -DSR with other three protocols in mobility as well as Nonmobility scenario up to 300 nodes in MANETs using NS2 simulator. To achieve this goal DSR is modified
by using modified algorithm technique in order to load balancing, to avoid congestion and lower packet
delivery.
ENHANCING STUDENTS’ LEARNING AND SATISFACTION THROUGH THE USE OF SOCIAL MEDIAIJITE
Communication in and out the classroom is an essential component for education. As the technology
emerges, there is a need to adopt to the new technologies to enhance students’ learning experience. Social
media technologies provide informal communication methods that promote student engagement and
satisfaction by removing communication barriers. In this paper, we report our experience in using different
social media technologies to enhance students’ learning experience and satisfaction with the course. We
perform our experiment in software project management course and conduct a survey to assess the
students’ perspective towards using these different social media technologies in enhancing their learning
and satisfaction. Results show that students are satisfied and feel that their learning experience has
improved when using social media for class communication.
PERFORMANCE ANALYSIS AND COMPARISON OF IMPROVED DSR WITH DSR, AODV AND DSDV R...ijp2p
Mobile Ad-hoc networks are categorized by multi-hop wireless connectivity and numbers of nodes are connecting each other through wireless network. It includes several routing protocols specifically designed for ad-hoc routing. The most widely used ad hoc routing protocols are Ad-hoc On Demand Distance Vector (AODV), Destination Sequence Distance Vector (DSDV), and Dynamic Source Routing (DSR). In this paper, we present an analysis of DSR protocol and propose our algorithm to improve the performance of DSR protocol by using small delay applied on last route ACK path when an original route fails in Mobile Ad Hoc networks. Past researchers the MANET have focused on simulation study by varying network parameters, such as network size, number of nodes. The simulation results shows that the M-DSR protocol
having some excellent performance Metrics then other protocols. We have taken different performance parameters over the comparison of Modified -DSR with other three protocols in mobility as well as Nonmobility scenario up to 300 nodes in MANETs using NS2 simulator. To achieve this goal DSR is modified by using modified algorithm technique in order to load balancing, to avoid congestion and lower packet
delivery.
Our area of interest for the paper is the improvement of performance of DSR routing protocol by
changing in algorithm and this Improved DSR protocol should compare with remaining protocols
taken in this research paper.
2. In this paper we made changesin traditional DSR protocol and generation of new improved DSR the
different performance parameters and compare with AODV/DSR/DSDV protocols in mobility and
non- mobility scenarios nodes up to 300.
3. We can plot the graphs throughput, End to end Delay, Packet delivery Ratio, Dropping Ratio, and
average energy consumption on Mobility and Non-Mobility scenario by using Network Simulator
version 2.34 for Modified DSR protocols. M-DSR, DSDV perform well when Mobility is low.
PERFORMANCE ANALYSIS AND COMPARISON OF IMPROVED DSR WITH DSR, AODV AND DSDV R...ijp2p
Mobile Ad-hoc networks are categorized by multi-hop wireless connectivity and numbers of nodes are
connecting each other through wireless network. It includes several routing protocols specifically designed
for ad-hoc routing. The most widely used ad hoc routing protocols are Ad-hoc On Demand Distance Vector
(AODV), Destination Sequence Distance Vector (DSDV), and Dynamic Source Routing (DSR). In this
paper, we present an analysis of DSR protocol and propose our algorithm to improve the performance of
DSR protocol by using small delay applied on last route ACK path when an original route fails in Mobile
Ad Hoc networks. Past researchers the MANET have focused on simulation study by varying network
parameters, such as network size, number of nodes. The simulation results shows that the M-DSR protocol
having some excellent performance Metrics then other protocols. We have taken different performance
parameters over the comparison of Modified -DSR with other three protocols in mobility as well as Nonmobility scenario up to 300 nodes in MANETs using NS2 simulator. To achieve this goal DSR is modified
by using modified algorithm technique in order to load balancing, to avoid congestion and lower packet
delivery.
Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing...ijwmn
Wireless Sensor networks are a challenging task due to the lack of resources in the network as well as the frequent changes in network topology. Various routing protocols are designed basically to establish correct and efficient paths between source and destination. In the recent years, several routing protocols have been proposed in literature and many of them studied through extensive simulation at different network characteristics. In this paper, we compare the performance of three most common routing protocols of wireless sensor networks i.e. AODV, DSDV and ZRP. These protocols have been simulated using NS2 Package. This study investigates the routing protocols corresponding to packet delivery ratio, packet loss ratio, average throughput, dropped packets and end-to-end delay. Hence, evaluation and comparison between routing protocols is required because performance of any routing protocol can be changed with various parameters such as speed of nodes, pause times and number of nodes.
Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing...ijwmn
Wireless Sensor networks are a challenging task due to the lack of resources in the network as well as the frequent changes in network topology. Various routing protocols are designed basically to establish correct and efficient paths between source and destination. In the recent years, several routing protocols have been proposed in literature and many of them studied through extensive simulation at different network characteristics. In this paper, we compare the performance of three most common routing protocols of wireless sensor networks i.e. AODV, DSDV and ZRP. These protocols have been simulated using NS2 Package. This study investigates the routing protocols corresponding to packet delivery ratio, packet loss ratio, average throughput, dropped packets and end-to-end delay. Hence, evaluation and comparison between routing protocols is required because performance of any routing protocol can be changed with various parameters such as speed of nodes, pause times and number of nodes.
Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, Ad hoc on demand multipath routing protocol, Dynamic source routing are optimized versions of distance vector or link state routing protocols. In this paper, existing protocols such as DSDV, AODV, AOMDV, OLSR and DSR are analyzed on 50 nodes Mobile Ad Hoc network with random mobility. Packet delivery ratio, delay, control overhead and throughput parameters are used for performance analysis.
Mobile Relay Configuration in Data-Intensuive Wireless Sensor with Three Rout...IJERA Editor
Wireless sensor network are increasingly used in data-intensive applications such as micro-climate monitoring,
precision agriculture and audio/video surveillance. A key challenges faced by data-intensive wsn’s is to transmit
all the data generated with an application’s lifetime to the base station despite the fact that sensor nodes have
limited power supply. We propose using low-cost disposable mobile really and our work in the following
aspects First, it does not require complex motion planning of mobile nodes. Second we integrate the energy
consumption due to both mobility and wireless transmission. Our framework consists of first algorithm
computes an optimal routing tree. The second, we integrate the energy consumption due to both mobility and
wireless transmissions .The second algorithm improves the topology of the routing tree by greedily adding new
nodes. The third algorithm improves the routing tree by relocating its nodes without changing its topology.
Frequently forming a network topology without the use of any existing network infrastructure. We compare the
performance of the three prominent routing protocols for the mobile relay is Adhoc on Demand Distance Vector
(ADVO), Destination Sequenced Distance Vector (DSDV) and Temporally Ordered Routing Protocols (TORA).
We have chosen four performance metrics such as Average Delay, Packet Delivery Fraction, Routing load and
varying Mobility nodes, simulation for the popular routing protocols AODV, DSDV, and TORA. The
simulation is carried out on NS-2. The performance differentials are analyzed using varying network size and
simulations times. The simulation results confirm that ADVO performs well in terms of Average Delay, Packet
Delivery Fraction. As far as routing load concers TORA performs well.
ENHANCEMENT OF OPTIMIZED LINKED STATE ROUTING PROTOCOL FOR ENERGY CONSERVATIONcscpconf
Mobile Ad-hoc network (MANET) is infrastructure less network in which nodes are mobile, self
reconfigurable, battery powered. As nodes in MANET are battery powered, energy saving is an
important issue. We are using routing protocol to save energy so as to extend network lifetime.
We have extended original Optimized Linked State Routing (OLSR) protocol by using two
algorithms and named it as Enhancement in OLSR using Residual Energy approach (EOLSRRE)
and Enhancement in OLSR using Energy Consumption approach (EOLSR-EC). To analyze
relative performance of modified protocol EOLSR-RE and EOLSR-EC over OLSR, we
performed various trials using Qualnet simulator. The performance of these routing protocols is
analyzed in terms of energy consumption, control overheads, end to end delay, packet delivery
ratio. The modified OLSR protocol improves energy efficiency of network by reducing 20 %
energy consumption and 50% control overheads.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Performance analysis on multihop transmission using arp routing protocol in i...eSAT Journals
Abstract
Mobile Ad Hoc Network (MANET) are becoming more and more important in the modern environment. It can be used instantly to connect to the local or remote network without using the pre-existing infrastructure. The mobile or user in the network can together establish the infrastructure. In order to improve the limited range of radio transmission, multiple network ‘hops’ are needed so that the communication between the mobiles can be establish. There are varieties of protocol that had been proposed for the hopping methods but most of them suffer from high overhead. This project proposed a new method of hopping protocol for IEEE 802.11b using the existing network protocol which is Address Resolution Protocol (ARP). The ARP message is used in the network to find the MAC address of the destination. This can also be done by having multi hops where the proposed method using ARP designed will make an intermediate node act as a router in order to find the destination address and forward the data successfully. In this proposed method, the data is directly passed to the intermediate node and the intermediate node will help to find the route to the destination and passed the data to the destination node. This will reduce the transmission time. From the simulation obtained, it proved that the proposed method using the ARP protocol can works well as the existing network protocol which is Ad Hoc On-Demand Distance Vector (AODV). The simulation is composed into two types of environment which are with and without obstacles. The throughput, the packet loss and the round trip time for various distances is simulated and the results shows that the performance of the proposed method using ARP is much better compared to the AODV.
Index Terms: Address Resolution Protocol (ARP), Ad-Hoc, 802.11 Wifi, Hopping
In Cognitive Radio Networks (CRN), Cooperative Spectrum Sensing (CSS) is
used to improve performance of spectrum sensing techniques used for detection of licensed
(Primary) user’s signal. In CSS, the spectrum sensing information from multiple unlicensed
(Secondary) users are combined to take final decision about presence of primary signal. The
mixing techniques used to generate final decision about presence of PU’s signal are also
called as Fusion techniques / rules. The fusion techniques are further classified as data
fusion and decision fusion techniques. In data fusion technique all the secondary users
(SUs) share their raw information of spectrum detection like detected energy or other
statistical information, while in decision fusion technique all the SUs take their local
decisions and share the decision by sending ‘0’ or ‘1’ corresponding to absence and presence
of PU’s signal respectively. The rules used in decision fusion techniques are OR rule, AND
rule and K-out-of-N rule. The CSS is further classified as distributed CSS and centralized
CSS. In distributed CSS all the SUs share the spectrum detection information with each
other and by mixing the shared information; all the SUs take final decision individually. In
centralized CSS all the SUs send their detected information to a secondary base station /
central unit which combines the shared information and takes final decision. The secondary
base station shares the final decision with all the SUs in the CRN. This paper covers
overview of information fusion methods used for CSS and analysis of decision fusion rules
with simulation results.
Wireless sensor networks (WSN) have been widely used in various applications.
In these networks nodes collect data from the attached sensors and send their data to a base
station. However, nodes in WSN have limited power supply in form of battery so the nodes
are expected to minimize energy consumption in order to maximize the lifetime of WSN. A
number of techniques have been proposed in the literature to reduce the energy
consumption significantly. In this paper, we propose a new clustering based technique
which is a modification of the popular LEACH algorithm. In this technique, first cluster
heads are elected using the improved LEACH algorithm as usual, and then a cluster of
nodes is formed based on the distance between node and cluster head. Finally, data from
node is transferred to cluster head. Cluster heads forward data, after applying aggregation,
to the cluster head that is closer to it than sink in forward direction or directly to the sink.
This reduction in distance travelled improves the performance over LEACH algorithm
significantly.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
EFFICIENT APPROACH FOR DESIGNING A PROTOCOL FOR IMPROVING THE CAPACITY OF ADH...IJCI JOURNAL
In Adhoc Network, prime issues which affects the deployment, design and performance of an Adhoc
Wireless System are Routing, MAC Scheme, TCP, Multicasting, Energy management, Pricing Scheme &
self-organization, Security & Deployment consideration. Routing protocols are designed in such a way that
it should have improvement of throughput and minimum loss of packets. Another aspect is efficient
management of energy and the requirement of protracted connectivity of the network. The routing
algorithm designed for this network should monitor the energy of the node and route the packet
accordingly. Adhoc Network in general has many limitations such as bandwidth, memory and
computational power. In Adhoc Network there are frequent path break due to mobility. Also time
synchronization is difficult & consumes more Bandwidth. Bandwidth reservations requires complex
Medium Access Control protocol. In this field the work of quantitative and qualitative metrics analysis has
been done. The analysis of protocol performance for improving the capacity of adhoc network using
probabilistic approaches of the network is yet to be proposed. Our probabilistic approach will cover
analysis of various computational parameters for different mobility structures. In our proposed method we
have distributed mobile nodes using Pareto distribution & formulated various energy models using
regression statistic.
PERFORMANCE ANALYSIS AND COMPARISON OF IMPROVED DSR WITH DSR, AODV AND DSDV R...ijp2p
Mobile Ad-hoc networks are categorized by multi-hop wireless connectivity and numbers of nodes are
connecting each other through wireless network. It includes several routing protocols specifically designed
for ad-hoc routing. The most widely used ad hoc routing protocols are Ad-hoc On Demand Distance Vector
(AODV), Destination Sequence Distance Vector (DSDV), and Dynamic Source Routing (DSR). In this
paper, we present an analysis of DSR protocol and propose our algorithm to improve the performance of
DSR protocol by using small delay applied on last route ACK path when an original route fails in Mobile
Ad Hoc networks. Past researchers the MANET have focused on simulation study by varying network
parameters, such as network size, number of nodes. The simulation results shows that the M-DSR protocol
having some excellent performance Metrics then other protocols. We have taken different performance
parameters over the comparison of Modified -DSR with other three protocols in mobility as well as Nonmobility scenario up to 300 nodes in MANETs using NS2 simulator. To achieve this goal DSR is modified
by using modified algorithm technique in order to load balancing, to avoid congestion and lower packet
delivery.
ENHANCING STUDENTS’ LEARNING AND SATISFACTION THROUGH THE USE OF SOCIAL MEDIAIJITE
Communication in and out the classroom is an essential component for education. As the technology
emerges, there is a need to adopt to the new technologies to enhance students’ learning experience. Social
media technologies provide informal communication methods that promote student engagement and
satisfaction by removing communication barriers. In this paper, we report our experience in using different
social media technologies to enhance students’ learning experience and satisfaction with the course. We
perform our experiment in software project management course and conduct a survey to assess the
students’ perspective towards using these different social media technologies in enhancing their learning
and satisfaction. Results show that students are satisfied and feel that their learning experience has
improved when using social media for class communication.
PERFORMANCE ANALYSIS AND COMPARISON OF IMPROVED DSR WITH DSR, AODV AND DSDV R...ijp2p
Mobile Ad-hoc networks are categorized by multi-hop wireless connectivity and numbers of nodes are connecting each other through wireless network. It includes several routing protocols specifically designed for ad-hoc routing. The most widely used ad hoc routing protocols are Ad-hoc On Demand Distance Vector (AODV), Destination Sequence Distance Vector (DSDV), and Dynamic Source Routing (DSR). In this paper, we present an analysis of DSR protocol and propose our algorithm to improve the performance of DSR protocol by using small delay applied on last route ACK path when an original route fails in Mobile Ad Hoc networks. Past researchers the MANET have focused on simulation study by varying network parameters, such as network size, number of nodes. The simulation results shows that the M-DSR protocol
having some excellent performance Metrics then other protocols. We have taken different performance parameters over the comparison of Modified -DSR with other three protocols in mobility as well as Nonmobility scenario up to 300 nodes in MANETs using NS2 simulator. To achieve this goal DSR is modified by using modified algorithm technique in order to load balancing, to avoid congestion and lower packet
delivery.
Our area of interest for the paper is the improvement of performance of DSR routing protocol by
changing in algorithm and this Improved DSR protocol should compare with remaining protocols
taken in this research paper.
2. In this paper we made changesin traditional DSR protocol and generation of new improved DSR the
different performance parameters and compare with AODV/DSR/DSDV protocols in mobility and
non- mobility scenarios nodes up to 300.
3. We can plot the graphs throughput, End to end Delay, Packet delivery Ratio, Dropping Ratio, and
average energy consumption on Mobility and Non-Mobility scenario by using Network Simulator
version 2.34 for Modified DSR protocols. M-DSR, DSDV perform well when Mobility is low.
PERFORMANCE ANALYSIS AND COMPARISON OF IMPROVED DSR WITH DSR, AODV AND DSDV R...ijp2p
Mobile Ad-hoc networks are categorized by multi-hop wireless connectivity and numbers of nodes are
connecting each other through wireless network. It includes several routing protocols specifically designed
for ad-hoc routing. The most widely used ad hoc routing protocols are Ad-hoc On Demand Distance Vector
(AODV), Destination Sequence Distance Vector (DSDV), and Dynamic Source Routing (DSR). In this
paper, we present an analysis of DSR protocol and propose our algorithm to improve the performance of
DSR protocol by using small delay applied on last route ACK path when an original route fails in Mobile
Ad Hoc networks. Past researchers the MANET have focused on simulation study by varying network
parameters, such as network size, number of nodes. The simulation results shows that the M-DSR protocol
having some excellent performance Metrics then other protocols. We have taken different performance
parameters over the comparison of Modified -DSR with other three protocols in mobility as well as Nonmobility scenario up to 300 nodes in MANETs using NS2 simulator. To achieve this goal DSR is modified
by using modified algorithm technique in order to load balancing, to avoid congestion and lower packet
delivery.
Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing...ijwmn
Wireless Sensor networks are a challenging task due to the lack of resources in the network as well as the frequent changes in network topology. Various routing protocols are designed basically to establish correct and efficient paths between source and destination. In the recent years, several routing protocols have been proposed in literature and many of them studied through extensive simulation at different network characteristics. In this paper, we compare the performance of three most common routing protocols of wireless sensor networks i.e. AODV, DSDV and ZRP. These protocols have been simulated using NS2 Package. This study investigates the routing protocols corresponding to packet delivery ratio, packet loss ratio, average throughput, dropped packets and end-to-end delay. Hence, evaluation and comparison between routing protocols is required because performance of any routing protocol can be changed with various parameters such as speed of nodes, pause times and number of nodes.
Performance Comparison and Analysis of Proactive, Reactive and Hybrid Routing...ijwmn
Wireless Sensor networks are a challenging task due to the lack of resources in the network as well as the frequent changes in network topology. Various routing protocols are designed basically to establish correct and efficient paths between source and destination. In the recent years, several routing protocols have been proposed in literature and many of them studied through extensive simulation at different network characteristics. In this paper, we compare the performance of three most common routing protocols of wireless sensor networks i.e. AODV, DSDV and ZRP. These protocols have been simulated using NS2 Package. This study investigates the routing protocols corresponding to packet delivery ratio, packet loss ratio, average throughput, dropped packets and end-to-end delay. Hence, evaluation and comparison between routing protocols is required because performance of any routing protocol can be changed with various parameters such as speed of nodes, pause times and number of nodes.
Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, Ad hoc on demand multipath routing protocol, Dynamic source routing are optimized versions of distance vector or link state routing protocols. In this paper, existing protocols such as DSDV, AODV, AOMDV, OLSR and DSR are analyzed on 50 nodes Mobile Ad Hoc network with random mobility. Packet delivery ratio, delay, control overhead and throughput parameters are used for performance analysis.
Performance evaluation of dynamic source routing protocol with variation in t...IJECEIAES
Mobile ad-hoc network (MANET) is a set of mobile wireless nodes (devices) which is not rely on a fixed infrastructure. In MANETs, each device is responsible for routing its data according to a specific routing protocol. The three most common MANET routing protocols are: dynamic source routing protocol (DSR), optimized link state routing protocol (OLSR), and ad-hoc on-demand distance vector (AODV). This paper proposes an efficient evaluation of DSR protocol by testing the MANETs routing protocol with variation in transmission power at different speeds. The performance analysis has been given using optimized network engineering tools (OPNET) modeler simulations and evaluated using metrics of average end to end delay and throughput. The results show that the throughput increases as the transmission power increases up to a certain value after which the throughput decreases, also the network work optimally at a certain transmission power which varied at different speed.
Performance Comparison of Different Routing Protocols for Wireless Sensor Net...ijtsrd
Wireless sensor network is a wireless network consisting of small nodes with sensing, computation, and wireless communication capabilities. One of the most important issues in Wireless sensor networks WSNs is collecting and processing data perceived from the environment and sending that data to be processed and evaluated. Routing data towards the destination node is a fundamental task in WSNs. The data exchange is supported by multihop communications. Routing protocols are in charge of discovering and maintaining the routes in the networks. In this research work, the performance of the different routing protocols in wireless sensor network based on air pollution area is derived. Sensor nodes are deployed in two types of scenario grid and random. And, simulation result outcomes are evaluated using the different routing protocols like Ad hoc On Demand Distance Vector AODV Destination Sequenced Distance Vector Routing DSDV and Dynamic Source Routing DSR in two scenarios. This system is implemented in Network Simulator NS2 . The main focus of this paper is to evaluate the performance of the different routing protocols in random scenarios. The comparison between three different routing protocols is simulated between 10, 50 and 100 nodes. Khaing Khaing Maw "Performance Comparison of Different Routing Protocols for Wireless Sensor Network in Air Pollution Area" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26760.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26760/performance-comparison-of-different-routing-protocols-for-wireless-sensor-network-in-air-pollution-area/khaing-khaing-maw
Performance evaluation of diff routing protocols in wsn using difft network p...Dr Sandeep Kumar Poonia
In the recent past, wireless sensor networks have been introduced to use in many applications. To design the networks, the factors needed to be considered are the coverage area, mobility, power consumption, communication capabilities etc. The challenging goal of our project is to create a simulator to support the wireless sensor network simulation. The network simulator (NS-2) which supports both wire and wireless networks is implemented to be used with the wireless sensor network.
Survey comparison estimation of various routing protocols in mobile ad hoc ne...ijdpsjournal
MANET is
an autonomous system of mobile nodes attached by wireless links. It represents
a complex and
dynamic distributed systems that consist of mobile wireless nodes that can freely self organize into
an ad
-
hoc network topology. The devices in the network may hav
e limited transmission
range therefore multiple
hops may be needed by one node to transfer data to another node in network. This leads to the need f
or an
effective routing protocol. In this paper we study various classifications of routing protocols and
th
eir types
for wireless mobile ad
-
hoc networks like DSDV, GSR, AODV, DSR, ZRP, FSR, CGSR, LAR, and Geocast
Protocols. In this paper we also compare different routing proto
cols on based on a given set of
parameters
Scalability, Latency, Bandwidth, Control
-
ov
erhead, Mobility impact
SIMULATION AND ANALYSIS OF AODV, DSDV, ZRP IN VANETijfcstjournal
The main aim of this paper is to present comprehensive study on the performance and behavior of Ondemand
Distance Vector Routing approach (AODV), Table Driven Routing approach (DSDV) and Hybrid
Routing approach (ZRP) in VANETs. VANETs are an enhanced form of MANETs where moving nodes are
replaced by vehicles. This paper evaluates these protocols under realistic mobility models to analyze their
performance in VANETs. To evaluate the performance of given protocols, different set of scenarios with
varying nodes density have been simulated with the help of simulators NS-2, SUMO and MOVE.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Analysis of Random Based Mobility Model using TCP Traffic for AODV and DSDV M...ijsrd.com
In Mobile Ad hoc network (MANETS), no fixed infrastructure is available. Different wireless hosts are free to move from one location to another without any centralized administration, so, the topology changes rapidly or unpredictably. Every node operates as router as well as an end system. Routing in MANETs has been a challenging task ever since the wireless networks came into existence. The major reason for this is continues changes in network topology because of high degree of node mobility. The MANET routing protocols have mainly two classes: Proactive routing (or table-driven routing) protocols and Reactive routing (or on-demand routing) protocols. In this paper, we have analyzed various Random based mobility models: Random Waypoint model, Random Walk model, Random Direction model and Probabilistic Random Walk model using AODV and DSDV protocols in Network Simulator (NS 2.35). The performance comparison of MANET mobility models have been analyzed by varying number of nodes using traffic TCP. The comparative conclusions are drawn on the basis of various performance metrics such as: Routing Overhead (packets), Packet Delivery Fraction (%), Normalized Routing Load, Average End-to-End Delay (milliseconds) and Packet Loss (%).
Similar to Comparative Study for Performance Analysis of Routing Protocols in Mobility and Non-Mobility Scenarios (20)
Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An ...eeiej
Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal aims to bring together researchers and practitioners from academia and industry to focus on recent systems and techniques in the broad field of electrical, instrumentation and communication Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical Electronics & Instrumentation Engineering.
Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to
Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An ...eeiej
Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal aims to bring together researchers and
practitioners from academia and industry to focus on recent systems and techniques in the broad field of electrical, instrumentation and
communication Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical Electronics & Instrumentation Engineering.
Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial
experiences that describe significant advances in the following areas, but are not limited to
Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An ...eeiej
Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal aims to bring together researchers and
practitioners from academia and industry to focus on recent systems and techniques in the broad field of electrical, instrumentation and
communication Engineering. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical Electronics & Instrumentation Engineering.
Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial
experiences that describe significant advances in the following areas, but are not limited to
The Baugh-Wooley algorithm is a well-known iterative algorithm for performing multiplication in digital signal processing applications. Decomposition logic is used with Baugh-Wooley algorithm to enhance the speed and to reduce the critical path delay. In this paper a high speed multiplier is designed and implemented using decomposition logic and Baugh-Wooley algorithm. The result is compared with booth
multiplier. FPGA based architecture is presented and design has been implemented using Xilinx 12.3 device.
A Street Light Control framework which works naturally is least demanding as well as the canny
framework. This project describes a street lighting application developed utilizing a hybrid powergeneration
technology that combines solar energy into a single, unified power generation system. Solar
energy vitality is quickly picking up notoriety as an essential method for growing renewable vitality assets.
Solar energy following permits more vitality to be delivered in light of the fact that the sun oriented vitality
has the capacity stay adjusted to sun. The force from the sun blocked by the earth is roughly 1.8*1011MW,
which is numerous a huge number of times bigger than the present utilization rate on the earth of all
business vitality sources. The design objective of the solar renewable street-light system is to develop a
self-sufficient street lighting system that generates and stores electric power whenever solar radiation are
available, and then provides lighting during the night time. The bureau for the battery stockpiling and
controller circuits ought to be sufficiently little with the goal that it can be promptly installable in many
areas.
A Light Dependent Resistor is used to activate street light during night time. The RTC is a device which
counts data and time. Depending upon time the RTC provides a voltage source which will trigger the motor
solar panel to rotate in a direction of light source. There by the solar panel will get activated and provide
voltage to the battery to operate depend on load requirement
The development of a country is dependent on the per person energy consumption rate, which is very low
in Bangladesh. Bangladesh installed a capacity of 10416 MW electricity on June 2014 and three fourth of
which is considered to be accessible. Near about 45% people has no access to electricity. Therefore,
electricity shortage is an acute crisis in Bangladesh. As Saint Martin Island is far away from the main
land, it is almost impossible and cost ineffective to supply electricity from the national grid. For
connection of nearly 6000 peoples of Saint Martin to the main stream of development and to make this
island more attractive to the tourists, it is very essential to provide electricity for them. Power generation
by combining solar, wind and diesel, known as hybrid system can be the most efficient technique for the
electrification of these types of Island. Based on this principle, in this paper a hybrid system is designed
for electrification of Saint Martin’s Island. In the analysis, realistic data is used for load calculation and
optimization analysis for most effective solution. Hybrid Optimization Model for Electric Renewable
(HOMER) software is used to find out the final optimization and sensitive analysis of hybrid system. This
system satisfies the load demand and reduces carbon emission which will help to generate green energy.
Energy is one of the most important factors for a developing country like Bangladesh. Like the rest of the
countries of the world, the demand for energy is increasing day by day in our country. Energy sector of
Bangladesh is exceedingly depended on the limited gas reserve. Given the rising demand for fuel it will be
very difficult t to meat this demand with only indigenous natural gas. About 80% of the power generation in
the country is now gas based. Therefore diversification of fuel has become indispensible it has been
envision 2021 that 53% of the power generation will be coal based by year 2021. The worldwide scenario
shows that, Coal is the ultimate fuel for future. Bangladesh is very lucky that it has got significant but
almost untapped high quality coal resource. Five coal fields in the country contain 3.3 billion metric tons
coal. Recently rate of coal production from Barapukuria are increased significantly due to application of
modern coal extracting method, LTCC. Coal to Synthesis gas conversion, is an emerging technology to
wide the application area of coal and commercially proved technology worldwide. The paper gives an
overview of the current state of coal scenario and natural gas scenario in Bangladesh. Here we discuss the
principles of coal to syngas conversion technology and aside from a brief introduction to 5 process
methods for conversion of coal to Synthesis Natural Gas (SNG). The Steam-Oxygen Gasification,
Hydrogasification, Catalytic Steam Gasification, Underground Steam-Oxygen Gasification, Underground
Hydrogasification processes are discussed with the help of process flow diagram. This paper also
summaries the present scenario of Syngas production worldwide. Finally we propose a coal based syngas
infrastructure, where coal is converted to syngas, then processed to make Synthesis Natural Gas (SNG),
then it transmitted via dedicated pipeline or injected into existing natural gas pipeline to the different types
of user like Household, Thermal Power Plant, Brick Field, Ceramics & Glass Industry and any kind of
thermal process industry. This proposed technology is design to reduce the dependency on natural gas.
Topology and configuration selection for dc dc converters in space electrical...eeiej
Selection of DC/DC converter topology is one of the most challenging aspects in space Electrical Power Systems (EPS) design and development. It both highly, affects and is affected from EPS reliability requirements among the other EPS performance specifications. So ranking of DC/DC converters based on End-Of-Life (EOL) reliability is an undeniable need.
In this paper, reliability of four DC/DC converters including buck, forward, fly-back, and Push-pull, as candidates for a 5-years-long, Low-Earth-Orbit (LEO) space mission, are evaluated and compared. Converters are assumed having similar design requirements and supervision and control elements with different power conversion parts and negligible reliability-affecting excess circuits.
Standard process is undertaken in preliminary and critical design of converters for reliability improvement and prediction. To reduce the converters’ parts stress regarding the particles radiation and the thermal cycling effects of the space environment, a derating process is applied to the primary design based on ECSS standard. Derated components are then selected in such a way to make possible calculating components failure-rates based on the MIL-HDBK-217F data and equations as the major EEE components failure-rate data reference. Reliability modelling and analysis for the converters is done by reliability block diagram (RBD) method, and the converters are then comparatively evaluated based on the analysis results.According to the results, buck converter is the most reliable one and push-pull is the least. Among the
isolated topologies, fly-back is the best one from the reliability point of view.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Key Trends Shaping the Future of Infrastructure.pdf
Comparative Study for Performance Analysis of Routing Protocols in Mobility and Non-Mobility Scenarios
1. Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal
(EEIEJ), Vol. 3, No. 1/2/3, August 2016
DOI : 10.5121/eeiej.2016.3301 1
COMPARATIVE STUDY FOR PERFORMANCE
ANALYSIS OF ROUTING PROTOCOLS IN
MOBILITY AND NON-MOBILITY SCENARIOS
Paresh Acharekar1
, Dr. Saurabh Mehta2
& Prof. Shraddha panbude3
1
Student in Department of EXTC, Vidyalankar institute of Technology, Mumbai India,
2 &3
Department of EXTC,Vidyalankar institute of Technology, Mumbai India.
ABSTRACT
A Mobile Ad-hoc Network (MANET) has a collection of numbers of wireless nodes which is each device in
MANET having ability to free to move in any direction so that it is useful in all applications. In MANET
nodes change position quite frequently, this means that we have need routing protocols that quickly adapts
to topology changes. An ad-hoc network is self-organising and distributive in manner. The MANET is
works as router so that linked with the other nearest devices. A mobile ad hoc network (MANET) is a
wireless network follows the multiple hop routing instead of static network infra to provide network
connectivity. Each device in a MANET is free to move independently in all direction freewaysand will
therefore nodes change position in large networks all routing protocols. The routing protocols are needed
for conveying information in Ad-hoc network there are various performance parameters to compare the
Ad-hoc routing protocols.
My area of interest in this paper to analyze the different performance parameters Recent research has
focused on simulation studies with mobility and non- mobility scenarios to investigate and improve routing
protocols. we have simulate the all three routing protocols in mobility as well as non-mobility scenario
with nodes up to 300 also plot the graphs throughput, Delay, PDR, Dropping Ratio, and average energy
consumption by using Network Simulator version 2.34. ).
KEYWORDS:
Routing, MANET, DSDV, DSR, AODV, NS-2.
1. INTRODUCTION:
Wireless cellular systems have been in used since 1980s. These systems work with the support of
supporting structure environment and having centralized access point. The mobile user connected
as all the way which has centralized access point in prior one [1].
2. Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal
(EEIEJ), Vol. 3, No. 1/2/3, August 2016
2
Figure.1 Mobile Ad-hoc Networks (MANET )[Ref:13]
A mobile ad hoc network (MANET) is a collection of wireless nodes. The MANET acts as
Router which is moving independently and freely in the organized network which has number of
host connected to them. As per fig 1 shown that the 6 mobile nodes which are connecting each
other via ad-hoc network. Mobile node 1 is not within the transmission range of 4 If mobile node
1 wants to establish communication with node 4, Node 3 which in the transmission range of node
2 and 4 forwards the packets so that node 1 and 4 are able to communicate each other
successfully.The fixed network is different than MANET which is MANET technology is mobile
[3]. Mobiles nodes are capability to send the packet during transmission.Routing is very
important function in network whether the network is wired or wireless.
As per the mobility and Non-mobility characteristics are expected to have effective output of the
routing protocols like DSR [4], AODV [1] & DSDV [2].We try to find out the mobility and non-
mobility survey taking three different scenarios and need to observe its use also impact to choose
the right protocol.Routing protocols are classified into Table driven and On demand protocols. In
Table driven protocols, the route is predecided in a routing table while sending packets from
source to destination which is destination node obtained the sequence number. Examples are
DSDV (Destination Sequence Distance Vector On demand protocol, when the packets sent from
source to destination then no pre-modified path developed in routing table.
DSR (Distance Source Routing) & AODV (Ad hoc On Demand Distance Vector) Protocol [6].
Further, AODV performed good compared with the other protocols.The DSR and AODV
showing almost similar outputs as compared to DSDV.
Figure.2 Classification of Routing Protocols[Ref:6]
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2. OVERVIEW OF ROUTING PROTOCOLS:
1. Ad Hoc On-demand Distance Vector Routing (AODV) :
This is part of reactive routing protocol and interesting approach of this routing protocols has a
nodes belong to active routes only need to share and maintain the routing information. AODV
protocol determines new path information by destination sequence number generated by
destination node. When destination received packet from source as RREQ then AODV creates
the sequence number both the fields. The destination route send the RREP request to source for
the new route developed on destination as per forwarding path RREQ[5].
2. Dynamic Source Routing (DSR):
When the packet received from source then route contains the entire information of source which
sent to destination [4]. The source sends the packet to destination and initially sends the RREQ
request to destination without affecting the network. The RREQ builds up a path whole the
network and the RREP routes itself back to the source by traversing this path backward.
Destination node should send the RREP packets to sender which contains address of both
destination and source. The destination node has new route for the destination which receive
RREQ packet responds by sending a RREP acknowledgement message[3].
3. Destination Sequence Distance Vector (DSDV) :
In DSDV, each node contains the next hop information. A sequence number generated by the
destination node adds the each entry to prevent loops [3]. The dsdv requires the destination IP
address for new sequence number also number of hops to reaching the destination node for every
packet and last the sequence number of some information need to send it the packet to
destination. In this routing protocol, formation of routing table and updates of table have
preferred. The node re developed the tables as per received information, then generation of new
sequence number, It is useful for small numbers of nodes [5].
Related Work:
The below tabular format follow the performance of my thesis over the different Routing
Protocols
Table 2: Referred by Various Research Papers
Sr
No
References Parameter Previous Work analysis Implementation of project
1
Akshai A et al.[12]
Sabinaet al.[7]
Nodes
In mobility scenario, they
used up to 200 nodes and
performance of DSR is
worst with increases the
nodes
We have used up to 300
nodes so might be used Ex-
DSR with neural networks to
improve the throughput and
packet dropped parameters
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2
Suman Kumariet al
[23], Kuljit Kauret al
[20]
Work
AODV and DSR used on
On demand route
discovery phenomenon’s
uses source routing and
route cache.
Working on route discovery
and route maintenance
regarding the combination of
both in Modified-DSR
protocol.
3 Zubair I et cl. [27]
Performance
criteria
As per simulation work,
AODV protocol better
performance in highest
number of nodes (up to
200)
As per simulation work DSR
perform low as high number
of nodes so I will improve
the performance of DSR
(similar to AODV) with
increasing number of nodes
(up to 300 )using Routing
Algorithm for Ex-DSR
4
Preeti G et al.[17]
Packet
delivery
Ratio
As per graph the DSR
PDF performance decline
drastically (up to 100
nodes) when the increased
no of node
we would improve PDF
performance of DSR when
increasing no of nodes ( after
100) using the decision
algorithm
Shashank dwivediet
al.[2]
5
Parma Nand et al,
[16],VenetisKanakar
isetal. [3]
Traffic and
Mobility
AODV is DSR preferable
for Moderate mobility and
low traffic
We have use the M-DSR
technology can improve the
high mobility and high traffic
6
Gulati et al. [11]
Nodes
A deeper simulation of
DSDV, AODV, DSR with
performance of all
protocol up to 200 mobile
nodes and AODV has
good one then DSR.
AODV shown the awesome
experience in a network with
low mobility scenarios while
the AODV and DSR showing
better output as per their
characteristics in all mobility
scenario.
7
SamayveerS et. Al
[19]
Performance
criteria
The simulation analysis
carried out AODV and
DSR. In this paper that
the
The throughput and the
end-to end delay are used
for only 50 to 100 nodes.
We have to use Modified-
DSR protocol Algorithm to
improve the few performance
parameters with
highlyutilized of nodes.
8
Dr Mudassar et al
[24]
Protocols
used
Performance comparison
of all three protocols and
among that basically
normally used protocol
which has characteristics
of protocol mainly focus
on routing for
better performance and
have little defense
capability against the
Variationof nodes.
M-DSR preferable for
Moderate mobility and low
traffic as per AODV
protocol.
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9
Hasein Issa Sigiuk et
al [8]
Dipankar S et al. [6]
Performance
criteria
In papertested the
comparison of both
scenario and DSR
protocol perform better
due to multiple path
registered kept the route
cache and provide
stability on the network of
variation of nodes DSDV
has low packet delivery
ratio and DSR having low
latency and energy
consumption
We have used Ex-DSR
routing Algorithm to reach
the AODV performance
parameters and need to make
combination mobile sink and
static protocols which is best
in both scenario.
10
Rajeev Paulus et al
[14]
Application
Metrics
The authors showing that
DSR giving the less
dropping ratio than other
protocols but other
parameter are decreases
and also compare few
parameters.
We have used Ex-DSR
routing Algorithm to reach
good performance of all
performance parameter.
11
Nitin Tyagi et al
[13]
congestion
Worked on upto 100
nodes in CBR traffic in
MANET
We should be propose EX-
DSR protocol and implement
mobility as well as non-
mobility nodes constant
nodes upto 300 and we
would get some positive
results in performance
parameters.
This papers evaluates the three MANET routing protocols (DSDV, AODV and DSR) based on
some quality of parameters like packet delivery ratio, Average energy consumption , Delay,
throughput, dropping Ratio, packet received)
Performance Metrics:
In this paper, we are taking following performance parameters to compare the our survey paper
routing protocol.
1. Delay :. The delay is calculated when the packet is generated and will send for
transmission so that calculate the time interval will receiving application at the
destination node.
2. Packet Delivery Ratio : The packet delivery ratio (PDR) is defined as the number of
data packets delivered relative to the number of packets generated.
PDR = packets generated / packets delivered
3. Throughput: The throughput of a connection between two paths which has
determined by the number of bytes delivered per unit of time.
Throughput = Total bytes received / Total time
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4. Packet Dropping Ratio : Packet Delivery Ratio (PDR) is the ratio between source
packets which has sent and same amount of packets received by a destination.
Suppose packets are dropped calculate by this method.
5. Average Energy Consumption: Energy has been consumed when the packet has
send in network.
Network Simulator 2 :
Network Simulator is a type of tool which uses to large nodes eg: ns-1, ns-2 and ns-3. All of them
are discrete-event computer network simulators, primarily used in research.NS (Version 2) is an
open source network simulation tool. It is basically use for wireless/ wire line network the
protocol should use TCP,UDP.In this tool generate the NAM file as well as TAR file from .TCL
file with different traffic and topologies. we can easily evaluated the graphs from .AWK file. The
graphical based simulation tool exists in this NS2 which has easily showing so that we have used
the NS2 [21].Basically NS2 OTCL, C++ scripts are used for separate control the paths. NS2 is
good and easy to use to all types of protocols and network modules with different scenarios.It can
runs various system like Linux 8.5, RHEL, cgywin, Fedora and Ubuntu. It uses the ad-hoc routing
protocols like AODV, DSR, DSDV etc.
Figure 2. Basic Architecture of NS-2 Simulator
[Ref: NS-2 Network simulator http://www.isi.edu/nsnam/ns]
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Table 3. Comparison of Various Network Simulators
Sr No Parameter OPNET OMNeT++ QualNet NS2
1 License Commercial Open Source Commercial Open Source
2 Support
OPNET has
Integrated, GUI-
based debugging
and analysis for
the users.
OMNeT++ has a
well- designed
simulation engine
and powerful GUI,
Includes Graphical
and command line
interfaces
Qualnet has
complete
GUI provided,
Ns-2 is most
popular
simulator for
academic
research
Graphical as
well as
command line
interface
3 Platform
C,C++,Opnet
modeler
software
Linux,mac-os,unix Linux
Unix,mac-OS
Microsoft
window
Cygwin
4
Specific
type
Castalia Nsrlsensorsim Viptos SensorSim
5 Mobility Yes No No Yes
6
Language
/Programmi
ng
C++/Java object-
oriented
C++ /C++(Highly
portable with
Windows,Linu x and
Mac OSX
Parsec C++/
Parsec
(Simulation
language
Derived
from C)
C++/OTCL
Object oriented
extension of Tcl
and C++
Simulation Set Up:
The simulations were performed use the Network Simulator 2 (NS-2.34) [7]. The mobility model
using ‘random waypoint model’ in a rectangular field as500m x 500m with varying from 50 to
300 nodes. We have seen over this study thesis different number of nodes uses the mobility and
non-mobility scenarios.CBR having good performance in mobility compared with VBR CBR
traffic in our paper for improvement of DSR protocol for higher nodes and analyze the various
performance parameters in CBR traffic also expected to show better result as per TCP traffic.The
VBR traffic model couldn’t supports in NS2 and if we are simulates the VBR results compared
with CBR traffic then need to use the another simulator.
In Table 4, we have summarized the different parameters which has used for our experiments.
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Table 4 : Parameter values taken in simulation
Result and Discussion:
In this Section, we have study the comparative performance of the three routing protocol. We
have simulated of AODV, DSDV and DSR Ad-hoc routing protocols in simulation environment
up to 300 mobile nodes as well as no mobile nodes. Graph show comparison between the three
protocols with mobility and Non-mobility scenarios on the basis of the above-mentioned metrics.
Graphs of Mobility Scenario in MANET:
1. Throughput:
From the above figure 4 and table 5 Throughput has measured in bits per second so that amount
of packets are send from source to destination which has amount of packets received by
destination. AODV and DSR protocols gives good throughput after 100 nodes then DSDV
protocol in mobility scenarios. In this parameter the AODV perform better which lead the more
stable path from source to destination.
Parameter Parameter Value
Simulator NS-2.34
Simulation grid size 500x 500
MAC layer Protocol MAC 802.11
Channel type Wireless channel
Routing protocols DSDV/ DSR/ AODV
Mobile nodes 50.100.150.200.250.300
Antenna Type Omni directional antenna
Propagation Model Two Ray Ground
Packet size 500 bytes
Traffic CBR (UDP)
Simulation time 100 sec
Link Layer Type LL
Mobility Model Random Way point model
Maximum speed 10 m/s
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Figure: 4 Throughput vs Number of Nodes
Table 5 :Readings of Throughput vs No of nodes
No of Nodes AODV DSR DSDV
50 216500 334153 613065
100 51008 51304.5 174442
150 187842 171248 302579
200 551278 479384 563308
250 712032 736625 182306
300 767654 897654 220914
AODV and DSR has higher throughput than DSDV because of to avoid the formation of network
loop and stable routes even if broken links. DSDV having a lower throughput for increasing
numbers of nodes.
2. Packet Delivery Ratio :
In Figure 5 &table 6 we have observed a slight advantage to AODV and DSR when the number
of nodes has increased from 150 nodes in mobile networks.During route discovery and route
maintenance scenario the few packets are loss in DSR and AODV that means the delay
happened.DSDV is good in mobility scenario for PDR. so that AODV has low packet delivery
fraction than DSR because of higher drop rates and DSDV having good performance in mobility
scenario.
0
500000
1000000
0 50 100 150 200 250 300 350
Throughput
[Bits/sec]
No of nodes
Throughput
AODV
DSR
DSDV
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.
Figure: 5Packet Delivery Ratio vs Number of Nodes
Table 6 :Readings PDR vs No of nodes
No of Nodes AODV DSR DSDV
50 84.8372 96.3248 78.4119
100 5.95087 6.16733 14.9198
150 14.6446 13.7664 20.4225
200 30.9199 27.4362 23.0888
250 32.1339 33.6456 51.8034
300 34.654 35.7654 62.6581
3. Delay:
In Figure 6and table 7Due to route discovery process delay of DSR is increases from node 50 and
up to 300 nodes it has 2.2 ms compared to AODV has average delay When the packet send
Source to destination then DSDV maintain the route in routing table in that increased delay with
formation of route.But in case of high traffic the DSR packets are get loss thus eliminating so
that such situations DSR has relatively high delay than AODV in mobility scenario.
Figure: 6Delay vs Number of Nodes
0
50
100
150
0 50 100 150 200 250 300 350
Packetdeliveryratio[%]
No. of nodes
Packet Delivery ratio
AODV
DSR
DSDV
0
1
2
3
0 100 200 300 400
Delay[ms]
No Of Nodes
Delay
AODV
DSR
DSDV
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Table 7: Readings Delay vs No of nodes
No of Nodes AODV DSR DSDV
50 0.564031 0.243947 0.88559
100 0.445553 1.19583 1.94105
150 1.05896 2.10176 2.72909
200 1.2968 2.27998 2.38812
250 0.92875 2.13679 1.31997
300 1.1275 2.26871 0.93151
4. Packet Dropping Ratio :
In figure 9 mentioned that DSDV having constant packet dropping ratio to 300 nodes and
when the increasing number of nodes (from 100 nodes) .Packet dropping ratio is very high in
DSDV due to its charachrastics in route formation.When the nodes are increased further up to
300, the packet loss for DSDV first increases and it would be decrease while AODV packet
loss will little bit increase as the network size increases.
Figure: 9Packet Dropping Ratiovs Number of Nodes
Table 10 :Readings Packet Dropping Ratio vs No of nodes
No of Nodes AODV DSR DSDV
50 15.1628 3.67521 27.0342
100 94.0491 93.8327 95.7602
150 85.3554 86.2336 93.9476
200 69.0801 72.5638 94.38
250 67.8661 66.3544 91.4103
300 69.8948 65.5467 91.3248
5. Average Energy Consumption :
In AODV, when increases network size then increases the consumption of that protocol.The
reactive protocol consumes high energy then proactive protocols. Due to collisions and
0
50
100
150
0 50 100 150 200 250 300 350
PacketDroppingRatio[%]
No. of nodes
Packet Dropping Ratio
AODV
DSR
DSDV
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retransmission which cause the energy wastage in mobility scenario. DSDV performance is
very low because maintaining the routing table entries and rebroadcast the packets when the
breakage of links.
Figure: 10Average Energy Consumption vs Number of Nodes
Table 11 :Readings Average Energy Consumption vs No of nodes
No of Nodes AODV DSR DSDV
50 0.411349 2.34107 0.363086
100 0.0644476 0.070608 0.549762
150 0.36102 0.41766 1.01416
200 1.67489 1.94307 1.38293
250 2.56661 2.93104 0.939587
300 2.67517 2.98713 1.17554
Graphs of Non-Mobility Scenario MANET:
1. Throughput
From the above figure 11 AODV and DSR protocols gives similar kind of throughput from
origination of nodes. It’s because of stale routing table entries.From the figures we observe
that the performance of the AODV improves and is better than DSDV as the network grows.it
is concluded that AODV and DSR performs very good and had a very heavy throughput in
networks with relatively larger number of traffic sources.
0
1
2
3
4
0 100 200 300 400
Energy[joules]
No Of Nodes
Average Energy Consumption
AODV
DSR
DSDV
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Figure: 11 Throughput vs Number of Nodes
Table 12: Readings Throughput vs No of nodes
No. of Nodes AODV DSR DSDV
50 250113 327655 337387
100 32258.3 31485.7 32288
150 161367 169092 91200
200 337186 338347 185418
250 747659 745504 397731
300 791234 795437 407641
2. Packet Delivery Ratio :
Figure: 12Packet Delivery Ratio vs Number of Nodes
0
500000
1000000
0 100 200 300 400
Throughput
Bits/sec]
No of Nodes
Throughput
AODV
DSR
DSDV
0
50
100
150
0 50 100 150 200 250 300 350
PDR[%]
No. of nodes
Packet Delivery Ratio
AODV
DSR
DSDV
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Table 13: Readings Packet Delivery Ratio vs No of nodes
No. of Nodes AODV DSR DSDV
50 97.9535 94.453 93.7094
100 3.78286 3.78629 3.78629
150 12.5855 13.6763 7.12701
200 18.9219 19.7196 10.4143
250 33.7407 34.8531 17.9539
300 37.5425 38.5334 25.6532
In Figure 12 we have observed a PDR has same up to 100 nodes and when the number of nodes
has increased says 300 nodes in non-mobile networks then Packet delivery ratio for AODV is up
to 95% to 100%.Packet delivery ratio for DSR degrade up to 90% when node increases. Packet
delivery ratio for DSDV is 40% to 60% and for varying nodes it degrades its performance up to
40%. In Non-mobility scenario almost similar charachrastics showing in DSR and ADOV. DSR
delivers packet up to 95 % and DSDV delivers packet up to 30% and the AODV as well as DSR
sent the number of packets in large network.
3. Delay :
Figure: 13Delay vs Number of Nodes
Table 14: Readings Delay vs No of Nodes
No. of Nodes AODV DSR DSDV
50 0.208385 0.453372 0.0291946
100 0.00346614 0.0286712 0.00235392
150 0.0397165 0.051656 0.237831
200 0.069358 0.0541943 0.222336
250 0.695796 0.885329 0.22659
300 0.70987 0.91234 0.23657
In this section the figure 13 which shows that the delay is very high in DSR and average in
AODV. DSR having high Delay where route is looked due to the route discovery mechanism
However, the performance of AODV is very low due to increase a node says 300 and the DSR
0
0.5
1
0 50 100 150 200 250 300 350
Delay(ms)
No.Of Nodes
Delay
AODV
DSR
DSDV
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having more delay with respect to highest number of nodes. DSDV having very low delay in non-
mobility which is easily maintained the sequence number as well as all the information should
updated in routing table.
4. Dropping Ratio :
In figure 16 shows that all the protocols having average dropping ration which is above 100 nodes
showing high constant dropping ratio in stable nodes. DSDV having constant packet dropping
ratio from 100 to 300 nodes and when the increasing number of nodes says 100 nodes AODV
and DSR comparatively lesser number of packet dropping ratio as compared with DSDV in non-
mobility scenario. In RREP request the formation of routes in result the re-transmission which
has resend the packets to destination. In large network DSR is very useful protocol in this section.
Figure: 16Packet Dropping Ratiovs Number of Nodes
Table 17: Readings Dropping Ratio vs No of Nodes
No. of Nodes AODV DSR DSDV
50 2.04651 5.54701 6.2906
100 96.2171 96.2137 96.2137
150 87.4145 86.3237 92.873
200 81.0781 80.2804 89.5857
250 66.2593 65.1469 82.0461
300 75.7678 72.5443 86.7656
5. Average Energy Consumption :
In this figure 17 shows the relationship between the number of nodes and the energy
consumption. As per the reading DSDV having quite low energy consumption than AODV, but
higher than DSR due charachrastics of DSDV protocols. This section graph look in like zigzag
manner due to stable node unchanged their position in simulation so that route formation easily
builds.
0
50
100
150
0 50 100 150 200 250 300 350
DroppingRatio[%]
No. of nodes
Dropping Ratio
AODV
DSR
DSDV
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Figure: 17Average Energy Consumption vs Number of Nodes
Table 18: Readings Average Energy Consumption vs No of Nodes
No of Nodes AODV DSR DSDV
50 0.463298 2.10891 1.61724
100 0.0297932 0.0306421 0.0194292
150 0.240792 0.318992 0.0657646
200 0.496486 0.592598 0.142517
250 1.71636 1.61467 0.463413
300 1.89655 1.87892 0.496541
CONCLUSION:
This research paper evaluate that the three routing protocols namely AODV, DSR and DSDV and
among that finding out best routing protocol for wireless networks. Every protocol have their own
charachrastics.hence, this paper concludes that the AODV protocol perform well compared with
DSR and DSDV protocols in less performance metrics. Reactive protocol uses the sequence
number criteria which has uses the route maintenance. Proactive routing protocols are table
driven. AODV uses routing tables,for determining freshness of routes in network simulation. On
the other hand, DSR uses source routing which is work the basic work to send the packet to
destination to large number of network congestion form.
1. AODV has the best all round performance. Need to improve the of DSR and DSDV
performance. DSDV is good for the big mobile networks. The major benefit is tremendous
support for multiple routes and multicasting.
2. From the Graphs that throughput for AODV is better than DSR routing protocol in mobility
scenario (MANET) and almost same on stable node. DSDV having very low throughput then
both AODV and DSR routing protocols.
1. Packet delivery ratio of DSDV is very good performance then AODV and DSR in both
scenarios for up to 300 nodes.
0
1
2
3
0 50 100 150 200 250 300 350
AverageEnergy[joules]
No. Of Nodes
Average Energy Consumption
AODV
DSR
DSDV
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[23] Traffic Pattern Based Performance Comparison of AODV, DSDV & OLSR MANET Routing
Protocols using Freeway Mobility Model by Suman Kumari, Sunil Maakar ,Suresh Kumar, R K
Rathy, IJCSIT, 2011.
[24] Varying Pause Time Effect on AODV, DSR and DSDV Performance, by Zafar Mahmood,
Muhammad Awais Nawaz, DrMudassar Iqbal, Saleem Khan, Zia ulHaq, ijwmt, March 2015.
AUTHORS
Paresh Acharekar is working as Software consultant in Atos Origin India
Private Limited, Pune, and India.my research focus on routing protocols in
MANET Mobility as well as Non-Mobility scenarios.
Dr. Saurabh Mehta is Professor and Head Department of EXTC, VIT
Engineering College Mumbai, India and his area of specializations includes a
core wireless network, Sensor Network. His wireless and NS2 ideas helps me lot
in this research paper.
Prof. Shraddha Panbude is working in VIT Engineering College Mumbai, India
and she is my guide of Master’s project.