The growth in wireless communication technologies has resulted in a considerable amount of
attention given to mobile adhoc networks. All mobile hosts in an adhoc network are embedded with
packet forwarding capabilities. It is decentralized and is independent of infrastructure. Since mobile
hosts in an adhoc network usually move freely, the topology of the network changes dynamically and
disconnection occurs frequently. These characteristics require the routing protocols to find an
alternative path towards the destination for data transfer. The existing on-demand routing protocols
does the alternative path establishment only after the disconnection of links in the existing path. The
data sent by the source during alternate path establishment period will be lost leading to incomplete
data transfer. The network traffic will therefore increase considerably. This problem can be overcome
by establishing an alternative path when the existing path is more likely to be broken, by sending a
warning message to the source indicating the likelihood of disconnection. In this paper an attempt has
been made to analyze a protocol that improves the network connectivity by preempting the alternative
path before the existing link gets failed by monitoring the signal strength and ‘age of the path’.
Mobility is one of the basic features that define an ad hoc network, an asset that leaves the field free for the
nodes to move. The most important aspect of this kind of network turns into a great disadvantage when it
comes to commercial applications, take as an example: the automotive networks that allow communication
between a groups of vehicles. The ad hoc on-demand distance vector (AODV) routing protocol, designed
for mobile ad hoc networks, has two main functions. First, it enables route establishment between a source
and a destination node by initiating a route discovery process. Second, it maintains the active routes, which
means finding alternative routes in a case of a link failure and deleting routes when they are no longer
desired. In a highly mobile network those are demanding tasks to be performed efficiently and accurately.
In this paper, we focused in the first point to enhance the local decision of each node in the network by the
quantification of the mobility of their neighbours. Quantification is made around RSSI algorithm a well
known distance estimation method.
Tree Based Proactive Source Routing Protocol for MANETspaperpublications3
bstract: A mobile adhoc network (MANET) is a wireless communication network and the node that does not lie within the direct transmission range of each other depends on the intermediate nodes to forward data. Opportunistic data forwarding has not been widely utilized in mobile adhoc networks (MANETs) and the main reason is the lack of an efficient lightweight proactive routing scheme with strong source routing capability. PSR protocol facilitates opportunistic data forwarding in MANETs. In PSR, each node maintains a breadth-first search spanning tree of the network rooted at it-self. This information is periodically exchanged among neighboring nodes for updated network topology information. Here added a Mobile sink to reduce the overhead in case of number of child node increases and also to reduce the delay.
Comparing: Routing Protocols on Basis of sleep modeIJMER
The architecture of ad hoc wireless network consists of mobile nodes for communication
without the use of fixed-position routers. The communication between them takes place without
centralized control. Routing is a very crucial issue, so to deal with this routing algorithms must deliver
the packet in significant delay. There are different protocols for handling the mobile environment like
AODV, DSR and OLSR. But this paper will focus on performance of AODV and OLSR routing protocols.
The performance of these protocols is analyzed on two metrics: time and throughput
Prediction Algorithm for Mobile Ad Hoc Network Connection BreaksIJCNCJournal
A Mobile Ad-Hoc Network (MANET) is a decentralized network of mobile node that are connected to an arbitrary topology via wireless connections. The breakdown of the connecting links between adjacent nodes will probably lead to the loss of the transferred data packets. In this research, we proposed an algorithm for link prediction (LP) to enhance the link break provision of the ad hoc on-demand remote protocol (AODV). The proposed algorithm is called the AODV Link Break Prediction (AODVLBP). The AODVLBP prevents link breaks by the use of a predictive measure of the changing signal. The AODVLBP was evaluated using the network simulator version 2.35 (NS2) and compared with the AODV Link prediction (AODVLP) and the AODV routing protocols. The simulation results reveal the effectiveness of AODVLBP in improving network performance in terms of average end-to-end delay, packet delivery ratio, packet overhead ratio, and packet drop-neighbour break.
International Journal of Pharmaceutical Science Invention (IJPSI)inventionjournals
International Journal of Pharmaceutical Science Invention (IJPSI) is an international journal intended for professionals and researchers in all fields of Pahrmaceutical Science. IJPSI publishes research articles and reviews within the whole field Pharmacy and Pharmaceutical Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Mobility is one of the basic features that define an ad hoc network, an asset that leaves the field free for the
nodes to move. The most important aspect of this kind of network turns into a great disadvantage when it
comes to commercial applications, take as an example: the automotive networks that allow communication
between a groups of vehicles. The ad hoc on-demand distance vector (AODV) routing protocol, designed
for mobile ad hoc networks, has two main functions. First, it enables route establishment between a source
and a destination node by initiating a route discovery process. Second, it maintains the active routes, which
means finding alternative routes in a case of a link failure and deleting routes when they are no longer
desired. In a highly mobile network those are demanding tasks to be performed efficiently and accurately.
In this paper, we focused in the first point to enhance the local decision of each node in the network by the
quantification of the mobility of their neighbours. Quantification is made around RSSI algorithm a well
known distance estimation method.
Tree Based Proactive Source Routing Protocol for MANETspaperpublications3
bstract: A mobile adhoc network (MANET) is a wireless communication network and the node that does not lie within the direct transmission range of each other depends on the intermediate nodes to forward data. Opportunistic data forwarding has not been widely utilized in mobile adhoc networks (MANETs) and the main reason is the lack of an efficient lightweight proactive routing scheme with strong source routing capability. PSR protocol facilitates opportunistic data forwarding in MANETs. In PSR, each node maintains a breadth-first search spanning tree of the network rooted at it-self. This information is periodically exchanged among neighboring nodes for updated network topology information. Here added a Mobile sink to reduce the overhead in case of number of child node increases and also to reduce the delay.
Comparing: Routing Protocols on Basis of sleep modeIJMER
The architecture of ad hoc wireless network consists of mobile nodes for communication
without the use of fixed-position routers. The communication between them takes place without
centralized control. Routing is a very crucial issue, so to deal with this routing algorithms must deliver
the packet in significant delay. There are different protocols for handling the mobile environment like
AODV, DSR and OLSR. But this paper will focus on performance of AODV and OLSR routing protocols.
The performance of these protocols is analyzed on two metrics: time and throughput
Prediction Algorithm for Mobile Ad Hoc Network Connection BreaksIJCNCJournal
A Mobile Ad-Hoc Network (MANET) is a decentralized network of mobile node that are connected to an arbitrary topology via wireless connections. The breakdown of the connecting links between adjacent nodes will probably lead to the loss of the transferred data packets. In this research, we proposed an algorithm for link prediction (LP) to enhance the link break provision of the ad hoc on-demand remote protocol (AODV). The proposed algorithm is called the AODV Link Break Prediction (AODVLBP). The AODVLBP prevents link breaks by the use of a predictive measure of the changing signal. The AODVLBP was evaluated using the network simulator version 2.35 (NS2) and compared with the AODV Link prediction (AODVLP) and the AODV routing protocols. The simulation results reveal the effectiveness of AODVLBP in improving network performance in terms of average end-to-end delay, packet delivery ratio, packet overhead ratio, and packet drop-neighbour break.
International Journal of Pharmaceutical Science Invention (IJPSI)inventionjournals
International Journal of Pharmaceutical Science Invention (IJPSI) is an international journal intended for professionals and researchers in all fields of Pahrmaceutical Science. IJPSI publishes research articles and reviews within the whole field Pharmacy and Pharmaceutical Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
THE IMPACT OF NODE MISBEHAVIOR ON THE PERFORMANCE OF ROUTING PROTOCOLS IN MANETIJCNCJournal
MANET is a cooperative wireless network in which mobile nodes are responsible for routing and
forwarding packets from and to other nodes. Noncooperation is a challenge that definitely degrades the
performance of MANET. A misbehaving or selfish node may make use of other nodes in the network, but
decline to share its own resources with them. These selfish nodes may severely affect the performance of
routing protocols in MANET.
In this paper, we compare the performance of four routing protocols under security attack of node
misbehavior in MANET. We investigate AODV and DSR reactive routing protocols and OLSR and GRP
proactive routing protocols using Riverbed Modeler simulator. The performance comparison is carried out
using two types of misbehaving nodes. The metrics used are End-to-End delay, Packet Delivery Ratio, Data
dropped and the Load. The experimental results show that AODV routing protocol performs better than the
other routing protocols with higher packet delivery ratio. Further, OLSR routing protocol outperforms the
other routing protocols with minimum End-to-End delay.
ENERGY AND PERFORMANCE EVALUATION OF REACTIVE, PROACTIVE, AND HYBRID ROUTING ...ijwmn
This paper evaluates the energy consumption of well-known routing protocols, along with other metrics
such as throughput, packet delivery ratio (PDR), and delay in different scenarios. We consider two other
metrics in order to capture the efficiency of the energy consumption: e-throughput which is the ratio
between the consumed energy and the throughput; and the e-PDR which is the ratio between the
consumed energy and the PDR. We compare four routing protocols: AODV, OLSR, and HWMP in
Reactive and Proactive modes. The number of nodes is varying between 25 and 81 nodes, with different
mobility models. Simulations are conducted using NS3 and the parameters of a real network interface
card. From the results, AODV presents the lowest energy consumption and a better e-Throughput. OLSR
provides a better e-PDR in mobile scenarios. With a smaller e-PDR and e-Throughput, the proactive
mode of HWMP is more energy efficient than the reactive mode.
Mobility is one of the basic features that define an ad hoc network, an asset that leaves the field
free for the nodes to move. The most important aspect of this kind of network turns into a great
disadvantage when it comes to commercial applications, take as an example: the automotive
networks that allow communication between a groups of vehicles. The ad hoc on-demand
distance vector (AODV) routing protocol, designed for mobile ad hoc networks, has two main
functions. First, it enables route establishment between a source and a destination node by
initiating a route discovery process. Second, it maintains the active routes, which means finding
alternative routes in a case of a link failure and deleting routes when they are no longer
desired. In a highly mobile network those are demanding tasks to be performed efficiently and
accurately. In this paper, we focused in the first point to enhance the local decision of each node
in the network by the quantification of the mobility of their neighbours. Quantification is made
around RSSI algorithm a well known distance estimation method.
IMPLEMENTATION AND COMPARISION OF DATA LINK QUALITY SCHEME ON ODMRP AND ADMR ...ijngnjournal
An ad hoc network is a collection of wireless mobile nodes dynamically forming a temporary network without the use of any fixed network infrastructure or centralized administration. In order to enable communication within the network, a routing protocol is needed to discover routes between nodes. The primary goal of ad hoc network routing protocols is to establish routes between node pairs so that messages may be delivered reliably and in a timely manner. The objective of any routing protocol is to have packet delivered with least possible cost in terms of receiving power, transmission power, battery energy consumption and distance. All these factors basically effect the establishment of link between the mobile nodes and liability and stability of these links. In this paper, we implement a data link quality scheme on two protocols ODMRP and ADMR and compare them on the bases link quality and link stability.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Comparatively analysis of AODV and DSR in MAC layer for Ad Hoc Environmentijsrd.com
In Wireless Adhoc Network is a group of wireless mobile nodes is an autonomous system of mobile nodes connected by wireless links. Every node operates as an end system and as a router to forward packets. In this paper mainly focused on Mac layer because this layer is most important for the data communication using control the packet loss and we worked on the comparison based performance of wimax802.16 and wireless802.11 networks using Ad hoc on- demand Distance Vector Routing Protocol and Dynamic Source Routing Protocol. In this paper we used the different maximum speed for the network. And this comparison based on unicast On-demand routing procedure and our simulation for mobile ad hoc networks discover and maintain only needed the design and follows the idea that each node by sending routing packets whenever a communication is requested and compared various parameter packet delivery ratio, normalized routing load and e-e delay. These simulations are carried out using the Network simulator version-2. The results presented in this work illustrate the importance in carefully evaluating and implementing routing protocols in an ad hoc environment.
Performance Analysis of Ad-hoc on Demand Distance Vector Routing (AODV) and D...ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Performance Evalution of MANET Routing Protocols using Reference Point Group ...ijasuc
An ad hoc network is often defined as an “infrastructureless” network, meaning a network without the
usual routing infrastructure like fixed routers and routing backbones. Typically, the ad hoc nodes are
mobile and the underlying communication medium is wireless. Each ad hoc node may be capable of acting
as a router.it’s charactrizied by multihop wireless connection and frequently changing networks.we
compare the performance of on-demand routing protocols for mobile ad-hoc networks are distributed
cache updating for the dynamic source routing protocol(DSR) and ad hoc on-demand distance vector
routing (AODV).the simulation model of the medium access control(MAC) layer is evaluting the
performance of MANET protocols.DSR and AODV protocols share similar behavours.we evalute the
both on demand protocols DSR and AODV based on packet delivery ratio , packet delivery latency,mobility
variation with total number of errors, packet and normalized routing overhead,end-to-end delay by varying
in node density.the performance and characterictics are explained by the graph models.
Quality of Service Routing in Mobile Ad hoc Networks Using Node Mobility and ...IJNSA Journal
Exceptionally dynamic networks are Mobile Ad hoc Networks. Quality of Service (QoS) routing in such
Networks are frequently limited by the network split due to either energy depletion or node mobility of the
mobile nodes. In addition, to fulfill specific quality parameters, existence of multiple node-disjoint paths
becomes essential. Such paths assist in the optimal traffic distribution and consistency in case of path
breakages. Thus, to accommodate such problem, we present a node-disjoint multipath protocol. The metric
system of measurement used to select the paths takes into account the stability of the nodes and the
equivalent links.
BETTER SCALABLE ROUTING PROTOCOL FOR HYBRID WIRELESS MESH NETWORKcscpconf
There are many routing approaches have been borrowed from mobile ad hoc network to achieve routing solutions in wireless mesh network. WMN was developed for reliable data communication and load balancing. AODV provides loop-free routes even while repairing broken links. This paper have been proposed an improved hierarchical AODV routing protocol
(IH-AODV), which exhibits better scalability and performance in the network. This IH-AODV protocol has been proposed for improvement in the scaling potential of AODV. MAODV allows
each node in the network to send out multicast data packets, used for multicast traffic. The wireless mesh network architecture provides reduction in installation cost, large scale
deployment, reliability and self management. It is mainly focused on implementing military or specialized civilian applications. Two protocols MAODV and IH-AODV were simulated using NS2 package. Simulation results will demonstrate that, IH-AODV scales well for large network
and other metrics are also better than or comparable to MAODV in hybrid WMNs.
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
Experiment of Routing Protocol AODV (AdHoc On-demand Distance Vector)IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Multipath Fault Tolerant Routing Protocol in MANET pijans
Mobile ad hoc networks (MANETs) consist of a collection of wireless mobile nodes which dynamically
exchange data among themselves without the reliance on a fixed base station or a wired backbone network
and it the makes the routing a crucial issue to the design of the MANET. Multiple path routing protocols
are shown to be performance-effective alternatives over single-path routing for ad hoc networks and it
represents a promising routing method for wireless mobile ad hoc networks. Multi-path routing achieves
load balancing and is more resilient to route failures..In this paper we propose an energy efficient
multipath fault tolerant routing protocol to improve the reliability of data routing in Mobile ad hoc
networks. The proposed RFTA is a multi objective routing protocol that meets diverse application
requirements by considering the changing conditions of the network. The efficiency of the proposed
protocol has been evaluated on different scenarios and there has been a noticeable improvement in the
packet delivery ratio and also in the reduction of end-to-end delay comparing to SMR,SMS and MDSR.
THE IMPACT OF NODE MISBEHAVIOR ON THE PERFORMANCE OF ROUTING PROTOCOLS IN MANETIJCNCJournal
MANET is a cooperative wireless network in which mobile nodes are responsible for routing and
forwarding packets from and to other nodes. Noncooperation is a challenge that definitely degrades the
performance of MANET. A misbehaving or selfish node may make use of other nodes in the network, but
decline to share its own resources with them. These selfish nodes may severely affect the performance of
routing protocols in MANET.
In this paper, we compare the performance of four routing protocols under security attack of node
misbehavior in MANET. We investigate AODV and DSR reactive routing protocols and OLSR and GRP
proactive routing protocols using Riverbed Modeler simulator. The performance comparison is carried out
using two types of misbehaving nodes. The metrics used are End-to-End delay, Packet Delivery Ratio, Data
dropped and the Load. The experimental results show that AODV routing protocol performs better than the
other routing protocols with higher packet delivery ratio. Further, OLSR routing protocol outperforms the
other routing protocols with minimum End-to-End delay.
ENERGY AND PERFORMANCE EVALUATION OF REACTIVE, PROACTIVE, AND HYBRID ROUTING ...ijwmn
This paper evaluates the energy consumption of well-known routing protocols, along with other metrics
such as throughput, packet delivery ratio (PDR), and delay in different scenarios. We consider two other
metrics in order to capture the efficiency of the energy consumption: e-throughput which is the ratio
between the consumed energy and the throughput; and the e-PDR which is the ratio between the
consumed energy and the PDR. We compare four routing protocols: AODV, OLSR, and HWMP in
Reactive and Proactive modes. The number of nodes is varying between 25 and 81 nodes, with different
mobility models. Simulations are conducted using NS3 and the parameters of a real network interface
card. From the results, AODV presents the lowest energy consumption and a better e-Throughput. OLSR
provides a better e-PDR in mobile scenarios. With a smaller e-PDR and e-Throughput, the proactive
mode of HWMP is more energy efficient than the reactive mode.
Mobility is one of the basic features that define an ad hoc network, an asset that leaves the field
free for the nodes to move. The most important aspect of this kind of network turns into a great
disadvantage when it comes to commercial applications, take as an example: the automotive
networks that allow communication between a groups of vehicles. The ad hoc on-demand
distance vector (AODV) routing protocol, designed for mobile ad hoc networks, has two main
functions. First, it enables route establishment between a source and a destination node by
initiating a route discovery process. Second, it maintains the active routes, which means finding
alternative routes in a case of a link failure and deleting routes when they are no longer
desired. In a highly mobile network those are demanding tasks to be performed efficiently and
accurately. In this paper, we focused in the first point to enhance the local decision of each node
in the network by the quantification of the mobility of their neighbours. Quantification is made
around RSSI algorithm a well known distance estimation method.
IMPLEMENTATION AND COMPARISION OF DATA LINK QUALITY SCHEME ON ODMRP AND ADMR ...ijngnjournal
An ad hoc network is a collection of wireless mobile nodes dynamically forming a temporary network without the use of any fixed network infrastructure or centralized administration. In order to enable communication within the network, a routing protocol is needed to discover routes between nodes. The primary goal of ad hoc network routing protocols is to establish routes between node pairs so that messages may be delivered reliably and in a timely manner. The objective of any routing protocol is to have packet delivered with least possible cost in terms of receiving power, transmission power, battery energy consumption and distance. All these factors basically effect the establishment of link between the mobile nodes and liability and stability of these links. In this paper, we implement a data link quality scheme on two protocols ODMRP and ADMR and compare them on the bases link quality and link stability.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Comparatively analysis of AODV and DSR in MAC layer for Ad Hoc Environmentijsrd.com
In Wireless Adhoc Network is a group of wireless mobile nodes is an autonomous system of mobile nodes connected by wireless links. Every node operates as an end system and as a router to forward packets. In this paper mainly focused on Mac layer because this layer is most important for the data communication using control the packet loss and we worked on the comparison based performance of wimax802.16 and wireless802.11 networks using Ad hoc on- demand Distance Vector Routing Protocol and Dynamic Source Routing Protocol. In this paper we used the different maximum speed for the network. And this comparison based on unicast On-demand routing procedure and our simulation for mobile ad hoc networks discover and maintain only needed the design and follows the idea that each node by sending routing packets whenever a communication is requested and compared various parameter packet delivery ratio, normalized routing load and e-e delay. These simulations are carried out using the Network simulator version-2. The results presented in this work illustrate the importance in carefully evaluating and implementing routing protocols in an ad hoc environment.
Performance Analysis of Ad-hoc on Demand Distance Vector Routing (AODV) and D...ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Performance Evalution of MANET Routing Protocols using Reference Point Group ...ijasuc
An ad hoc network is often defined as an “infrastructureless” network, meaning a network without the
usual routing infrastructure like fixed routers and routing backbones. Typically, the ad hoc nodes are
mobile and the underlying communication medium is wireless. Each ad hoc node may be capable of acting
as a router.it’s charactrizied by multihop wireless connection and frequently changing networks.we
compare the performance of on-demand routing protocols for mobile ad-hoc networks are distributed
cache updating for the dynamic source routing protocol(DSR) and ad hoc on-demand distance vector
routing (AODV).the simulation model of the medium access control(MAC) layer is evaluting the
performance of MANET protocols.DSR and AODV protocols share similar behavours.we evalute the
both on demand protocols DSR and AODV based on packet delivery ratio , packet delivery latency,mobility
variation with total number of errors, packet and normalized routing overhead,end-to-end delay by varying
in node density.the performance and characterictics are explained by the graph models.
Quality of Service Routing in Mobile Ad hoc Networks Using Node Mobility and ...IJNSA Journal
Exceptionally dynamic networks are Mobile Ad hoc Networks. Quality of Service (QoS) routing in such
Networks are frequently limited by the network split due to either energy depletion or node mobility of the
mobile nodes. In addition, to fulfill specific quality parameters, existence of multiple node-disjoint paths
becomes essential. Such paths assist in the optimal traffic distribution and consistency in case of path
breakages. Thus, to accommodate such problem, we present a node-disjoint multipath protocol. The metric
system of measurement used to select the paths takes into account the stability of the nodes and the
equivalent links.
BETTER SCALABLE ROUTING PROTOCOL FOR HYBRID WIRELESS MESH NETWORKcscpconf
There are many routing approaches have been borrowed from mobile ad hoc network to achieve routing solutions in wireless mesh network. WMN was developed for reliable data communication and load balancing. AODV provides loop-free routes even while repairing broken links. This paper have been proposed an improved hierarchical AODV routing protocol
(IH-AODV), which exhibits better scalability and performance in the network. This IH-AODV protocol has been proposed for improvement in the scaling potential of AODV. MAODV allows
each node in the network to send out multicast data packets, used for multicast traffic. The wireless mesh network architecture provides reduction in installation cost, large scale
deployment, reliability and self management. It is mainly focused on implementing military or specialized civilian applications. Two protocols MAODV and IH-AODV were simulated using NS2 package. Simulation results will demonstrate that, IH-AODV scales well for large network
and other metrics are also better than or comparable to MAODV in hybrid WMNs.
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
Experiment of Routing Protocol AODV (AdHoc On-demand Distance Vector)IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Multipath Fault Tolerant Routing Protocol in MANET pijans
Mobile ad hoc networks (MANETs) consist of a collection of wireless mobile nodes which dynamically
exchange data among themselves without the reliance on a fixed base station or a wired backbone network
and it the makes the routing a crucial issue to the design of the MANET. Multiple path routing protocols
are shown to be performance-effective alternatives over single-path routing for ad hoc networks and it
represents a promising routing method for wireless mobile ad hoc networks. Multi-path routing achieves
load balancing and is more resilient to route failures..In this paper we propose an energy efficient
multipath fault tolerant routing protocol to improve the reliability of data routing in Mobile ad hoc
networks. The proposed RFTA is a multi objective routing protocol that meets diverse application
requirements by considering the changing conditions of the network. The efficiency of the proposed
protocol has been evaluated on different scenarios and there has been a noticeable improvement in the
packet delivery ratio and also in the reduction of end-to-end delay comparing to SMR,SMS and MDSR.
A Survey of Enhanced Routing Protocols for Manetspijans
Mobile Ad Hoc Networks (MANETs) form a class of dynamic multi-hop networks consisting of a set of
mobile nodes that intercommunicate on shared wireless channels. MANETs are self-organizing and selfconfiguring multi-hop wireless networks, where the network structure changes dynamically due to the node
mobility. There exists no fixed topology due to the mobility of nodes, interference, multipath propagation
and path loss. Hence efficient dynamic routing protocols are required for these networks to function
properly. Many routing protocols have been developed to accomplish this task. In this paper we survey
various new routing protocols that have been developed as extensions or advanced versions of previously
existing routing protocols for MANETs such as DSR, AODV, OLSR etc.
On the routing overhead in infrastructureless multihop wireless networksNarendra Singh Yadav
Routing in infrastructureless multihop wireless networks is a challenging task and has received a vast amount of attention from researchers. This has lead to development of many different routing protocols each having their own superiorities and pitfalls making it very difficult to decide on a better protocol under vulnerable scenarios in such networks. In this paper the performance of three routing protocols (DSR, AODV and CBRP) in terms of routing overhead in bytes and in packets is presented under growing density and varying mobility in different traffic conditions. The simulation results show that CBRP outperforms both DSR and AODV in all scenarios.
IJCER (www.ijceronline.com) International Journal of computational Engineeri...ijceronline
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MOBILITY AWARE ROUTING PROTOCOL IN AD-HOC NETWORK cscpconf
A Mobile Ad-hoc Network (MANET) is a collection of mobile nodes that communicate and collaborate with each other without reliance on any pre-existing infrastructure. In MANETs, wireless links are subject to frequent breakages due to nodes high mobility. While several routing protocols such AODV and DSR have been designed for MANETs, many of operate efficiently under low network mobility conditions and do not adapt well with high mobility conditions. Therefore, considering mobility is a demanding task that should be performed efficiently and accurately. Here, we proposed novel mobility-aware routing protocol based on the well known Ad-hoc On Demand Distance Vector (AODV) routing protocol called: MA-AODV (Mobility Aware Ad-hoc On Demand Distance Vector) in an attempt to improve the handling of high mobility factor in ad-hoc networks. MA-AODV protocols perform periodic quantification of nodes mobility for the sake of establishing more stable paths between source/destination pairs, hence, avoiding the frequent link breakages associated with using unstable paths that contain high mobile nodes.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Performance Comparison of IAODV and OLSR Protocols under Black Hole Attackijsrd.com
A wireless ad-hoc network is a collection of mobile/semi-mobile nodes with no pre-established infrastructure, forming a temporary network.. MANET is a self organized and self configurable network where the mobile nodes move arbitrarily. The mobile nodes can receive and forward packets as a router. Each of the nodes has a wireless interface and communicates with each other over either radio or infrared. Laptop computers and personal digital assistants that communicate directly with each other are some examples of nodes in an ad-hoc network [4]. Nodes in the adhoc network are often mobile, but can also consist of stationary nodes, such as access points to the Internet. Semi mobile nodes can be used to deploy relay points in areas where relay points might be needed temporarily. Routing is a critical issue in MANET and hence the focus of this thesis along with the performance analysis of routing protocols. We compared two routing protocols i.e. IAODV and OLSR. Our simulation tool will be Network stimulator 2. The performance of these routing protocols is analyzed by three metrics: End to End delay, Packet delivery fraction and throughput.
Vehicle Ad Hoc Networks (VANETs) have become a viable technology to improve traffic flow and safety on the roads. Due to its effectiveness and scalability, the Wingsuit Search-based Optimised Link State Routing Protocol (WS-OLSR) is frequently used for data distribution in VANETs. However, the selection of MultiPoint Relays (MPRs) plays a pivotal role in WS-OLSR's performance. This paper presents an improved MPR selection algorithm tailored to WS-OLSR, designed to enhance the overall routing efficiency and reduce overhead. The analysis found that the current OLSR protocol has problems such as redundancy of HELLO and TC message packets or failure to update routing information in time, so a WS-OLSR routing protocol based on improved-MPR selection algorithm was proposed. Firstly, factors such as node mobility and link changes are comprehensively considered to reflect network topology changes, and the broadcast cycle of node HELLO messages is controlled through topology changes. Secondly, a new MPR selection algorithm is proposed, considering link stability issues and nodes. Finally, evaluate its effectiveness in terms of packet delivery ratio, end-to-end delay, and control message overhead. Simulation results demonstrate the superior performance of our improved MR selection algorithm when compared to traditional approaches.
A Novel Medium Access Control Strategy for Heterogeneous Traffic in Wireless ...IJCNCJournal
So far, Wireless Body Area Networks (WBANs) have played a pivotal role in driving the development of intelligent healthcare systems with broad applicability across various domains. Each WBAN consists of one or more types of sensors that can be embedded in clothing, attached directly to the body, or even implanted beneath an individual's skin. These sensors typically serve asingle application. However, the traffic generated by each sensor may have distinct requirements. This diversity necessitates a dual approach: tailored treatment based on the specific needs of each traffic typeand the fulfillment of application requirements, such asreliability and timeliness. Never the less, the presence of energy constraints and the unreliable nature of wireless communications make QoS provisioning under such networks a non-trivial task. In this context, the current paper introduces a novel Medium AccessControl (MAC) strategy for the regular traffic applications of WBANs, designed to significantly enhance efficiency when compared to the established MAC protocols IEEE 802.15.4 and IEEE 802.15.6, with a particular focus on improving reliability, timeliness, and energy efficiency.
May_2024 Top 10 Read Articles in Computer Networks & Communications.pdfIJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
A Topology Control Algorithm Taking into Account Energy and Quality of Transm...IJCNCJournal
The efficient use of energy in wireless sensor networks is critical for extending node lifetime. The network topology is one of the factors that have a significant impact on the energy usage at the nodes and the quality of transmission (QoT) in the network. We propose a topology control algorithm for software-defined wireless sensor networks (SDWSNs) in this paper. Our method is to formulate topology control algorithm as a nonlinear programming (NP) problem with the objective to optimizing two metrics, maximum communication range, and desired degree. This NP problem is solved at the SDWSN controller by employing the genetic algorithm (GA) to determine the best topology. The simulation results show that the proposed algorithm outperforms the MaxPower algorithm in terms of average node degree and energy expansion ratio.
Multi-Server user Authentication Scheme for Privacy Preservation with Fuzzy C...IJCNCJournal
The integration of artificial intelligence technology with a scalable Internet of Things (IoT) platform facilitates diverse smart communication services, allowing remote users to access services from anywhere at any time. The multi-server environment within IoT introduces a flexible security service model, enabling users to interact with any server through a single registration. To ensure secure and privacy preservation services for resources, an authentication scheme is essential. Zhao et al. recently introduced a user authentication scheme for the multi-server environment, utilizing passwords and smart cards, claiming resilience against well-known attacks. This paper conducts cryptanalysis on Zhao et al.'s scheme, focusing on denial of service and privacy attacks, revealing a lack of user-friendliness. Subsequently, we propose a new multi-server user authentication scheme for privacy preservation with fuzzy commitment over the IoT environment, addressing the shortcomings of Zhao et al.'s scheme. Formal security verification of the proposed scheme is conducted using the ProVerif simulation tool. Through both formal and informal security analyses, we demonstrate that the proposed scheme is resilient against various known attacks and those identified in Zhao et al.'s scheme.
Advanced Privacy Scheme to Improve Road Safety in Smart Transportation SystemsIJCNCJournal
In -Vehicle Ad-Hoc Network (VANET), vehicles continuously transmit and receive spatiotemporal data with neighboring vehicles, thereby establishing a comprehensive 360-degree traffic awareness system. Vehicular Network safety applications facilitate the transmission of messages between vehicles that are near each other, at regular intervals, enhancing drivers' contextual understanding of the driving environment and significantly improving traffic safety. Privacy schemes in VANETs are vital to safeguard vehicles’ identities and their associated owners or drivers. Privacy schemes prevent unauthorized parties from linking the vehicle's communications to a specific real-world identity by employing techniques such as pseudonyms, randomization, or cryptographic protocols. Nevertheless, these communications frequently contain important vehicle information that malevolent groups could use to Monitor the vehicle over a long period. The acquisition of this shared data has the potential to facilitate the reconstruction of vehicle trajectories, thereby posing a potential risk to the privacy of the driver. Addressing the critical challenge of developing effective and scalable privacy-preserving protocols for communication in vehicle networks is of the highest priority. These protocols aim to reduce the transmission of confidential data while ensuring the required level of communication. This paper aims to propose an Advanced Privacy Vehicle Scheme (APV) that periodically changes pseudonyms to protect vehicle identities and improve privacy. The APV scheme utilizes a concept called the silent period, which involves changing the pseudonym of a vehicle periodically based on the tracking of neighboring vehicles. The pseudonym is a temporary identifier that vehicles use to communicate with each other in a VANET. By changing the pseudonym regularly, the APV scheme makes it difficult for unauthorized entities to link a vehicle's communications to its real-world identity. The proposed APV is compared to the SLOW, RSP, CAPS, and CPN techniques. The data indicates that the efficiency of APV is a better improvement in privacy metrics. It is evident that the AVP offers enhanced safety for vehicles during transportation in the smart city.
April 2024 - Top 10 Read Articles in Computer Networks & CommunicationsIJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
DEF: Deep Ensemble Neural Network Classifier for Android Malware DetectionIJCNCJournal
Malware is one of the threats to security of computer networks and information systems. Since malware instances are available sufficiently, there is increased interest among researchers on usage of Artificial Intelligence (AI). Of late AI-enabled methods such as machine learning (ML) and deep learning paved way for solving many real-world problems. As it is a learning-based approach, accumulated training samples help in improving thequality of training and thus leveraging malware detection accuracy. Existing deep learning methods are focusing on learning-based malware detection systems. However, there is need for improving the state of the art through ensemble approach. Towards this end, in this paper we proposed a framework known as Deep Ensemble Framework (DEF) for automatic malware detection. The framework obtains features from training samples. From given malware instance a grayscale image is generated. There is another process to extract the opcode sequences. Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) techniques are used to obtain grayscale image and opcode sequence respectively. Afterwards, a stacking ensemble is employed in order to achieve efficient malware detection and classification. Malware samples collected fromthe Internet sources and Microsoft are used for theempirical study. An algorithm known as Ensemble Learning for Automatic Malware Detection (EL-AML) is proposed to realize our framework. Another algorithm named Pre-Process is proposed to assist the EL-AML algorithm for obtaining intermediate features required by CNN and LSTM.Empirical study reveals that our framework outperforms many existing methods in terms of speed-up and accuracy.
High Performance NMF Based Intrusion Detection System for Big Data IOT TrafficIJCNCJournal
With the emergence of smart devices and the Internet of Things (IoT), millions of users connected to the network produce massive network traffic datasets. These vast datasets of network traffic, Big Data are challenging to store, deal with and analyse using a single computer. In this paper we developed parallel implementation using a High Performance Computer (HPC) for the Non-Negative Matrix Factorization technique as an engine for an Intrusion Detection System (HPC-NMF-IDS). The large IoT traffic datasets of order of millions samples are distributed evenly on all the computing cores for both storage and speedup purpose. The distribution of computing tasks involved in the Matrix Factorization takes into account the reduction of the communication cost between the computing cores. The experiments we conducted on the proposed HPC-IDS-NMF give better results than the traditional ML-based intrusion detection systems. We could train the HPC model with datasets of one million samples in only 31 seconds instead of the 40 minutes using one processor), that is a speed up of 87 times. Moreover, we have got an excellent detection accuracy rate of 98% for KDD dataset.
A Novel Medium Access Control Strategy for Heterogeneous Traffic in Wireless ...IJCNCJournal
So far, Wireless Body Area Networks (WBANs) have played a pivotal role in driving the development of intelligent healthcare systems with broad applicability across various domains. Each WBAN consists of one or more types of sensors that can be embedded in clothing, attached directly to the body, or even implanted beneath an individual's skin. These sensors typically serve asingle application. However, the traffic generated by each sensor may have distinct requirements. This diversity necessitates a dual approach: tailored treatment based on the specific needs of each traffic typeand the fulfillment of application requirements, such asreliability and timeliness. Never the less, the presence of energy constraints and the unreliable nature of wireless communications make QoS provisioning under such networks a non-trivial task. In this context, the current paper introduces a novel Medium AccessControl (MAC) strategy for the regular traffic applications of WBANs, designed to significantly enhance efficiency when compared to the established MAC protocols IEEE 802.15.4 and IEEE 802.15.6, with a particular focus on improving reliability, timeliness, and energy efficiency.
A Topology Control Algorithm Taking into Account Energy and Quality of Transm...IJCNCJournal
The efficient use of energy in wireless sensor networks is critical for extending node lifetime. The network topology is one of the factors that have a significant impact on the energy usage at the nodes and the quality of transmission (QoT) in the network. We propose a topology control algorithm for software-defined wireless sensor networks (SDWSNs) in this paper. Our method is to formulate topology control algorithm as a nonlinear programming (NP) problem with the objective to optimizing two metrics, maximum communication range, and desired degree. This NP problem is solved at the SDWSN controller by employing the genetic algorithm (GA) to determine the best topology. The simulation results show that the proposed algorithm outperforms the MaxPower algorithm in terms of average node degree and energy expansion ratio.
Multi-Server user Authentication Scheme for Privacy Preservation with Fuzzy C...IJCNCJournal
The integration of artificial intelligence technology with a scalable Internet of Things (IoT) platform facilitates diverse smart communication services, allowing remote users to access services from anywhere at any time. The multi-server environment within IoT introduces a flexible security service model, enabling users to interact with any server through a single registration. To ensure secure and privacy preservation services for resources, an authentication scheme is essential. Zhao et al. recently introduced a user authentication scheme for the multi-server environment, utilizing passwords and smart cards, claiming resilience against well-known attacks. This paper conducts cryptanalysis on Zhao et al.'s scheme, focusing on denial of service and privacy attacks, revealing a lack of user-friendliness. Subsequently, we propose a new multi-server user authentication scheme for privacy preservation with fuzzy commitment over the IoT environment, addressing the shortcomings of Zhao et al.'s scheme. Formal security verification of the proposed scheme is conducted using the ProVerif simulation tool. Through both formal and informal security analyses, we demonstrate that the proposed scheme is resilient against various known attacks and those identified in Zhao et al.'s scheme.
Advanced Privacy Scheme to Improve Road Safety in Smart Transportation SystemsIJCNCJournal
In -Vehicle Ad-Hoc Network (VANET), vehicles continuously transmit and receive spatiotemporal data with neighboring vehicles, thereby establishing a comprehensive 360-degree traffic awareness system. Vehicular Network safety applications facilitate the transmission of messages between vehicles that are near each other, at regular intervals, enhancing drivers' contextual understanding of the driving environment and significantly improving traffic safety. Privacy schemes in VANETs are vital to safeguard vehicles’ identities and their associated owners or drivers. Privacy schemes prevent unauthorized parties from linking the vehicle's communications to a specific real-world identity by employing techniques such as pseudonyms, randomization, or cryptographic protocols. Nevertheless, these communications frequently contain important vehicle information that malevolent groups could use to Monitor the vehicle over a long period. The acquisition of this shared data has the potential to facilitate the reconstruction of vehicle trajectories, thereby posing a potential risk to the privacy of the driver. Addressing the critical challenge of developing effective and scalable privacy-preserving protocols for communication in vehicle networks is of the highest priority. These protocols aim to reduce the transmission of confidential data while ensuring the required level of communication. This paper aims to propose an Advanced Privacy Vehicle Scheme (APV) that periodically changes pseudonyms to protect vehicle identities and improve privacy. The APV scheme utilizes a concept called the silent period, which involves changing the pseudonym of a vehicle periodically based on the tracking of neighboring vehicles. The pseudonym is a temporary identifier that vehicles use to communicate with each other in a VANET. By changing the pseudonym regularly, the APV scheme makes it difficult for unauthorized entities to link a vehicle's communications to its real-world identity. The proposed APV is compared to the SLOW, RSP, CAPS, and CPN techniques. The data indicates that the efficiency of APV is a better improvement in privacy metrics. It is evident that the AVP offers enhanced safety for vehicles during transportation in the smart city.
DEF: Deep Ensemble Neural Network Classifier for Android Malware DetectionIJCNCJournal
Malware is one of the threats to security of computer networks and information systems. Since malware instances are available sufficiently, there is increased interest among researchers on usage of Artificial Intelligence (AI). Of late AI-enabled methods such as machine learning (ML) and deep learning paved way for solving many real-world problems. As it is a learning-based approach, accumulated training samples help in improving thequality of training and thus leveraging malware detection accuracy. Existing deep learning methods are focusing on learning-based malware detection systems. However, there is need for improving the state of the art through ensemble approach. Towards this end, in this paper we proposed a framework known as Deep Ensemble Framework (DEF) for automatic malware detection. The framework obtains features from training samples. From given malware instance a grayscale image is generated. There is another process to extract the opcode sequences. Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) techniques are used to obtain grayscale image and opcode sequence respectively. Afterwards, a stacking ensemble is employed in order to achieve efficient malware detection and classification. Malware samples collected fromthe Internet sources and Microsoft are used for theempirical study. An algorithm known as Ensemble Learning for Automatic Malware Detection (EL-AML) is proposed to realize our framework. Another algorithm named Pre-Process is proposed to assist the EL-AML algorithm for obtaining intermediate features required by CNN and LSTM.Empirical study reveals that our framework outperforms many existing methods in terms of speed-up and accuracy.
High Performance NMF based Intrusion Detection System for Big Data IoT TrafficIJCNCJournal
With the emergence of smart devices and the Internet of Things (IoT), millions of users connected to the network produce massive network traffic datasets. These vast datasets of network traffic, Big Data are challenging to store, deal with and analyse using a single computer. In this paper we developed parallel implementation using a High Performance Computer (HPC) for the Non-Negative Matrix Factorization technique as an engine for an Intrusion Detection System (HPC-NMF-IDS). The large IoT traffic datasets of order of millions samples are distributed evenly on all the computing cores for both storage and speedup purpose. The distribution of computing tasks involved in the Matrix Factorization takes into account the reduction of the communication cost between the computing cores. The experiments we conducted on the proposed HPC-IDS-NMF give better results than the traditional ML-based intrusion detection systems. We could train the HPC model with datasets of one million samples in only 31 seconds instead of the 40 minutes using one processor), that is a speed up of 87 times. Moreover, we have got an excellent detection accuracy rate of 98% for KDD dataset.
IoT Guardian: A Novel Feature Discovery and Cooperative Game Theory Empowered...IJCNCJournal
Cyber intrusion attacks increasingly target the Internet of Things (IoT) ecosystem, exploiting vulnerable devices and networks. Malicious activities must be identified early to minimize damage and mitigate threats. Using actual benign and attack traffic from the CICIoT2023 dataset, this WORK aims to evaluate and benchmark machine-learning techniques for IoT intrusion detection. There are four main phases to the system. First, the CICIoT2023 dataset is refined to remove irrelevant features and clean up missing and duplicate data. The second phase employs statistical models and artificial intelligence to discover novel features. The most significant features are then selected in the third phase based on cooperative game theory. Using the original CICIoT2023 dataset and a dataset containing only novel features, we train and evaluate a variety of machine learning classifiers. On the original dataset, Random Forest achieved the highest accuracy of 99%. Still, with novel features, Random Forest's performance dropped only slightly (96%) while other models achieved significantly lower accuracy. As a whole, the work contributes substantial contributions to tailored feature engineering, feature selection, and rigorous benchmarking of IoT intrusion detection techniques. IoT networks and devices face continuously evolving threats, making it necessary to develop robust intrusion detection systems.
Enhancing Traffic Routing Inside a Network through IoT Technology & Network C...IJCNCJournal
IoT networking uses real items as stationary or mobile nodes. Mobile nodes complicate networking. Internet of Things (IoT) networks have a lot of control overhead messages because devices are mobile. These signals are generated by the constant flow of control data as such device identity, geographical positioning, node mobility, device configuration, and others. Network clustering is a popular overhead communication management method. Many cluster-based routing methods have been developed to address system restrictions. Node clustering based on the Internet of Things (IoT) protocol, may be used to cluster all network nodes according to predefined criteria. Each cluster will have a Smart Designated Node. SDN cluster management is efficient. Many intelligent nodes remain in the network. The network design spreads these signals. This paper presents an intelligent and responsive routing approach for clustered nodes in IoT networks. An existing method builds a new sub-area clustered topology. The Nodes Clustering Based on the Internet of Things (NCIoT) method improves message transmission between any two nodes. This will facilitate the secure and reliable interchange of healthcare data between professionals and patients. NCIoT is a system that organizes nodes in the Internet of Things (IoT) by grouping them together based on their proximity. It also picks SDN routes for these nodes. This approach involves selecting one option from a range of choices and preparing for likely outcomes problem addressing limitations on activities is a primary focus during the review process. Predictive inquiry employs the process of analyzing data to forecast and anticipate future events. This document provides an explanation of compact units. The Predictive Inquiry Small Packets (PISP) improved its backup system and partnered with SDN to establish a routing information table for each intelligent node, resulting in higher routing performance. Both principal and secondary roads are available for use. The simulation findings indicate that NCIoT algorithms outperform CBR protocols. Enhancements lead to a substantial 78% boost in network performance. In addition, the end-to-end latency dropped by 12.5%. The PISP methodology produces 5.9% more inquiry packets compared to alternative approaches. The algorithms are constructed and evaluated against academic ones.
IoT Guardian: A Novel Feature Discovery and Cooperative Game Theory Empowered...IJCNCJournal
Cyber intrusion attacks increasingly target the Internet of Things (IoT) ecosystem, exploiting vulnerable devices and networks. Malicious activities must be identified early to minimize damage and mitigate threats. Using actual benign and attack traffic from the CICIoT2023 dataset, this WORK aims to evaluate and benchmark machine-learning techniques for IoT intrusion detection. There are four main phases to the system. First, the CICIoT2023 dataset is refined to remove irrelevant features and clean up missing and duplicate data. The second phase employs statistical models and artificial intelligence to discover novel features. The most significant features are then selected in the third phase based on cooperative game theory. Using the original CICIoT2023 dataset and a dataset containing only novel features, we train and evaluate a variety of machine learning classifiers. On the original dataset, Random Forest achieved the highest accuracy of 99%. Still, with novel features, Random Forest's performance dropped only slightly (96%) while other models achieved significantly lower accuracy. As a whole, the work contributes substantial contributions to tailored feature engineering, feature selection, and rigorous benchmarking of IoT intrusion detection techniques. IoT networks and devices face continuously evolving threats, making it necessary to develop robust intrusion detection systems.
** Connect, Collaborate, And Innovate: IJCNC - Where Networking Futures Take ...IJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
Enhancing Traffic Routing Inside a Network through IoT Technology & Network C...IJCNCJournal
IoT networking uses real items as stationary or mobile nodes. Mobile nodes complicate networking. Internet of Things (IoT) networks have a lot of control overhead messages because devices are mobile. These signals are generated by the constant flow of control data as such device identity, geographical positioning, node mobility, device configuration, and others. Network clustering is a popular overhead communication management method. Many cluster-based routing methods have been developed to address system restrictions. Node clustering based on the Internet of Things (IoT) protocol, may be used to cluster all network nodes according to predefined criteria. Each cluster will have a Smart Designated Node. SDN cluster management is efficient. Many intelligent nodes remain in the network. The network design spreads these signals. This paper presents an intelligent and responsive routing approach for clustered nodes in IoT networks. An existing method builds a new sub-area clustered topology. The Nodes Clustering Based on the Internet of Things (NCIoT) method improves message transmission between any two nodes. This will facilitate the secure and reliable interchange of healthcare data between professionals and patients. NCIoT is a system that organizes nodes in the Internet of Things (IoT) by grouping them together based on their proximity. It also picks SDN routes for these nodes. This approach involves selecting one option from a range of choices and preparing for likely outcomes problem addressing limitations on activities is a primary focus during the review process. Predictive inquiry employs the process of analyzing data to forecast and anticipate future events. This document provides an explanation of compact units. The Predictive Inquiry Small Packets (PISP) improved its backup system and partnered with SDN to establish a routing information table for each intelligent node, resulting in higher routing performance. Both principal and secondary roads are available for use. The simulation findings indicate that NCIoT algorithms outperform CBR protocols. Enhancements lead to a substantial 78% boost in network performance. In addition, the end-to-end latency dropped by 12.5%. The PISP methodology produces 5.9% more inquiry packets compared to alternative approaches. The algorithms are constructed and evaluated against academic ones.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
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.
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
The Art of the Pitch: WordPress Relationships and Sales
IMPROVED NETWORK CONNECTIVITY IN MANETS
1. International Journal of Computer Networks & Communications (IJCNC), Vol.1, No.3, October 2009
IMPROVED NETWORK CONNECTIVITY
IN MANETS
B RSujatha(1)
, M V Satyanarayana (2)
(1)
Assistant Professor (2)
, Professor
Dept of E&C, Malnad College of Engg, Hassan
Email: brs_hsn@rediffmail.com
Abstract:
The growth in wireless communication technologies has resulted in a considerable amount of
attention given to mobile adhoc networks. All mobile hosts in an adhoc network are embedded with
packet forwarding capabilities. It is decentralized and is independent of infrastructure. Since mobile
hosts in an adhoc network usually move freely, the topology of the network changes dynamically and
disconnection occurs frequently. These characteristics require the routing protocols to find an
alternative path towards the destination for data transfer. The existing on-demand routing protocols
does the alternative path establishment only after the disconnection of links in the existing path. The
data sent by the source during alternate path establishment period will be lost leading to incomplete
data transfer. The network traffic will therefore increase considerably. This problem can be overcome
by establishing an alternative path when the existing path is more likely to be broken, by sending a
warning message to the source indicating the likelihood of disconnection. In this paper an attempt has
been made to analyze a protocol that improves the network connectivity by preempting the alternative
path before the existing link gets failed by monitoring the signal strength and ‘age of the path’.
Keywords:
Mobile Adhoc Networks (MANETs), Dynamic Source Routing (DSR), Preemptive routing
1 INTRODUCTION
In recent days, connectivity with mobility is in great demand. This has given boost to lot
of research in the field of adhoc networks. MANETs are self-organisable, infrastructure less,
wireless, peer-peer, multi hop networks. They adopt distributed control in providing connectivity
from the source to the destination. Therefore the mobile units themselves need to take the
responsibility of discovering its nearest neighbors who are ready to route data packets to the
destination. Co-operation among all the mobile nodes is very essential in such cases. [1, 2].Typical
applications of these networks are outdoor events such as conferences, concerts and festivals,
places with no network infrastructure, outdoor emergencies and natural disasters and military
operations. A typical adhoc network is as shown in figure 1, which depicts its dynamic topology.
Fig 1 A Typical Adhoc Network
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If a node A1 wants to send a data packet to node B1, it can do so via node C1, which is in
the common range of both the nodes. However if C1 moves away and is beyond the range of A1,
the link is broken and a different route has to be established.
In the literature, routing protocols are broadly classified into three categories viz proactive,
reactive and hybrid protocols. Proactive protocols are also known as table driven protocols in
which the route to each destination in the network is stored in tables. Hence when a data packet is
to be transferred, the node will refer to its routing table to determine a route towards the
destination [3, 4]. An example for this type of routing is Destination Sequenced Distance Vector
(DSDV). In reactive protocols, which are also known as on demand routing protocols, the path
towards the destination is discovered as and when it is required. DSR (Dynamic source routing)
and AODV (Adhoc on demand vector) come under this category [5, 6, 7]. Hybrid protocols
combine the advantageous features of both proactive and reactive protocols. CEDAR (Core
Extracted Distributed Adhoc Routing) is one such protocol [8, 9].
On demand protocols are proved to perform better. But the major drawback of such
protocols is that the alternate route discovery process is initiated only after the existing link has
been reported as broken. This may considerably increase the network traffic as the data sent during
the transition period will be lost and will have to be retransmitted [10]. This problem can be
overcome by slightly modifying the existing on-demand protocols. Preemptive routing protocol is
one such protocol [11, 12].
In preemptive routing, alternate route discovery process is initiated in anticipation of a link
failure. This can be done by examining the signal strength continuously and the age of the path at
regular intervals. Once the signal strength falls below a threshold or the age of the path increases
beyond a threshold value, the process of route discovery will be initiated.
The rest of the paper is organized in various sections as follows. Section 2 highlights the
previous works done on routing in MANETs, in particular Dynamic Source Routing (DSR).
Section 3 describes the Preemptive routing protocol. Section 4 provides a comparison of the
preemptive protocol with the traditional on-demand protocol using simulations. Finally section 5
gives the conclusion and the possible future work.
2 PREVIOUS WORKS
Routing plays a vital role in MANETs. The dynamic nature of the network along with the
wireless communication poses many challenges on the routing protocols. Many proposed routing
protocols for adhoc networks operate in an on-demand fashion. Dynamic Source Routing (DSR) is
a routing protocol adapted for MANETs with dynamic topology due to frequent movement of the
nodes in the network [13]. DSR has two phases viz. route discovery and route maintenance.
2.1Route Discovery
This is a process of determination of a suitable route to the destination. To perform route
discovery, the source node broadcasts a route request packet with a recorded source node
addresses. Each node that hears the route request forwards the request (if appropriate), adding its
own address to the recorded source route field in the packet. The route request packet propagates
hop-by-hop outwards from the source node until either the destination node is found or until
another node is found that can offer a route to the destination [13].
A node will forward the route request if it is not the destination node and if it is not
already listed as a hop in the route. When a node wishes to send a packet, it examines its own route
cache and performs route discovery only if no suitable source route is found. Further, when a node
receives a route request for which it has a route in its cache, it does not propagate the route request
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but instead returns a route reply to the source node. The route reply contains the full concatenation
of the recorded route from the source and the cached route leading to the destination. Naturally, if
a route request packet reaches the destination node, the destination node returns a route reply
packet to the source node with the full source to destination path listed.
2.2 Route Maintenance
Conventional routing protocols integrate route discovery with route maintenance by
continuously sending periodic routing updates. If the status of a link or node changes, the periodic
updates will eventually reflect the change in all other nodes, presumably resulting in the
computation of new routes. If a node along the path of a packet detects an error, the node returns a
route error packet to the sender. The route error packet contains the addresses of the nodes at both
ends of the hop in error. When a route error packet is received or overheard, the ‘hop in error’ is
removed from any route caches and all routes which contain this hop must be truncated at that
point. Route maintenance can also be performed using end-to-end acknowledgments rather than
the hop-by-hop acknowledgments described above [13].
In DSR, an alternative path discovery is initiated only after the path disconnection due to a
link failure. This will result in loss of a number of data packets. Therefore there is a need to
modify the conventional DSR protocol.
3 PREEMPTIVE ROUTING
Conventionally, a change of path occurs in networks when: (i) a link along the path fails or
(ii) a shorter path is found. A link failure results in multiple retransmissions being required to
detect the failure and a new path has to be found and used as in on-demand routing. In MANETs,
as the network topology frequently changes, path disconnections occur and this proves to be very
costly.
As soon as a chance of link failure is identified, the preemptive routing invokes the routing
algorithm to discover an alternative path before the actual link failure occurs. Thus, the
connectivity of the network can be improved. This technique is similar to the soft handoffs in
mobile telephone networks. The route maintenance algorithm is as follows:(i) Detect the path
which is more likely to be broken (ii) Invoke routing algorithm to discover an alternate path. (iii)
Continue the transmission with the new path [14].
The key factor in the algorithm is to decide, when to rediscover a new path. This can be
done on the basis of the quality of the path which may incorporate several criteria such as signal
strength, age of the path, the number of hops to the destination etc. In this paper, we have
considered two ‘path quality’ parameters viz the signal strength and the age of the path. As the
link failures in adhoc networks can be attributed to node’s mobility, signal strength measurement
provides estimate of nodes ability to converse with each other. However, signal variations due to
fading and other temporary disturbances may generate erroneous signals resulting in unnecessary
new path discoveries and increasing the path overheads. The other parameter, the age of the path
also plays a vital role in deciding the maintenance of existing paths. As the age of the path
increases (under conditions of low mobility) with the same set of nodes participating in data
transmission, there are chances of these nodes failing because of battery drain. Hence, if the age of
the path increases beyond a threshold, inspite of the path being active, an alternate path with more
number of nodes (may or may not be) has to be discovered to avoid the total drain of the batteries
of the intermediate nodes. Although this method increases the network control traffic required for
new path discoveries, it improves network connectivity.
3.1 Generating the Warning Message based on Signal Strength
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The threshold value selected to generate warning plays a vital role in defining the
efficiency of this algorithm. If the value is too small, there may not be sufficient time to discover a
new path before the existing link is broken. On the contrary, if it is too high then unnecessary route
discoveries will be done increasing network control traffic. Hence, a trade off has to be made in
deciding an optimal threshold value for new path/route discovery.
A Preemptive region is defined around every node as shown in the figure 2 for node A. As
soon as node C enters the preemptive region, a warning message is sent to the sender node A.
Then the node A initiates a route discovery process. With the establishment of a new route, data
transmission is continued along this new route. The time required to discover a new path can be
termed as recovery time Trec. Hence the time between the warning and the path break Twarn should
be atleast or slightly greater than Trec.
Figure 2: Preemptive Region
In order to determine the optimal range, it is necessary to exchange the location and
velocity information of the nodes amongst all the nodes depending on the receiver signal power.
The receiver signal power,
at a distance r from the transmitter, where P0 is the transmitted power and path loss exponent n is
typically between 2 and 4.
The minimum power receivable by the device is the power at the maximum transmission
range,
Pd = P0 / d4
Similarly, the preemptive signal power threshold is the signal power at the edge of the
preemptive region. In addition, for a preemptive region of width of w, the signal power threshold is
Where dsafe is equal to (d- w) and w=relative speed*Twarn
The preemptive ratio α is defined as α =Psafe / Pd = range/ (range- w)
In reality, the received signal power may experience sudden fluctuations due to channel
fading and multipath effects which will trigger a false warning, causing unnecessary route request
floods. This may result in lower quality routes being initiated and also increasing the routing
overheads. In cellular networks, an exponential average of the signal power is used to verify that
the signal power drop was not due to fading. However, if the traffic is bursty or infrequent, the
preemptive region may be fully crossed by the time enough packets are received to drop the
4
Pr = P0 / rn
Psafe = P0 / d4
safe
5. International Journal of Computer Networks & Communications (IJCNC), Vol.1, No.3, October 2009
average below the threshold. Therefore quicker power estimates can be achieved by sending a
warning whenever the instantaneous power drops below the threshold and checking the warning
packet received power when it is received by the source. If the warning packet power is also below
the threshold, there is a good probability that the warning is real.
3.2 Generating the Warning Message based on ‘Age of the Path’
With transmissions being done along the same path, relay nodes will experience a
continuous drain of their battery power for the same source destination pair which may result in
path failure. Therefore alternate route discoveries are required before the onset of failure.
Nodes keep a record of their most recent encounter times with all other nodes. With a path
discovery being made, the source node sets a timer. The preemptive warning is generated based on
two parameters- Age of the path defined as the time difference Tage between the transmissions of
two consecutive route discovery packets from the source to the same destination and threshold
value Γ is defined for the age of the path. As long as Tage is lesser than Γ, data transmission can be
continued on the same path. When the timer value exceeds the threshold Γ, a warning message is
generated leading to a new path discovery. However this new path may or may not be the shortest
path to the destination. The choice of the threshold depends on node density of the network. If the
node density is small with lesser number of paths available, Γ must be large.
4 SIMULATION RESULTS
The following assumptions were made for carrying out simulation [15, 16].
• The discrete event network simulator NS-2 has been used for analysis and
comparison of the adhoc routing protocols.
• The mobility model uses the random waypoint model in a rectangular field.
• The mobile node movement is restricted to a square cell of 600 X 600m
containing 70 nodes.
• A 512-byte User Datagram Protocol (UDP) generated by a constant bit rate (CBR)
traffic source is used.
• Simulation lasts for 600 seconds.
A comparison of preemptive routing with the traditional DSR algorithm is discussed here.
Figure 3: Comparison wrt to Broken Paths
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0
50
100
150
200
250
300
1 1.2 1.4 1.6 1.8 2
Preemptive Ratio (α)
NoofBrokenPaths
DSR-High
Mobility
DSR-Low
Mobility
PDSR- High
Mobility
PDSR-Low
Mobility
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0
1000
2000
3000
4000
5000
6000
1 1.2 1.4 1.6 1.8 2
Preemptive Ratio (α)
DSRPacketsSent
DSR-High
Mobility
DSR-Low
Mobility
PDSR-High
Mobility
PDSR-Low
Mobility
Figure 4: Comparison wrt to Routing Overheads
The direct effect of preemptive routing can be seen by examining the number of broken
paths (Figure 3). The horizontal lines on each figure correspond to conventional DSR (with no
modifications whatsoever) under high mobility and low mobility conditions.
Figure 4 shows the overhead of PDSR compared to DSR. While the overhead is higher, it
can be noted that most of the overhead was experienced also by the non-preemptive version of
PDSR but with increased network connectivity.
The effect of number of active nodes with respect to the simulation time is as shown in
figure 5. It can be seen that if the threshold is small, number of active nodes will be more as new
routes will be initiated before the node’s battery gets drained completely.
.
Figure 5: Comparison wrt to Number of Active Nodes
The effect of packet loss with reference to various node densities is as shown in the figure
6. It is clear that at low node densities the packet loss will be more as there will be less chances of
having an alternative path using the available limited number of nodes. As the node density
increases there will be more routes possible for the same destination resulting in the decrease in
the packet loss.
6
0
10
20
30
40
50
60
70
100 200 300 400 500 600
Simulation Time
NoofActiveNodes
DSR
PDSR
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Figure 6: Comparison wrt to Packet Loss
5 CONCLUSIONS
In this paper, an attempt has been made to improve the data connectivity in the network by
preemptively selecting an alternate path as soon as the signal strength falls below the threshold
value and the age of the path exceeds the predefined threshold. An analysis of preemptive protocol
is made with the DSR algorithm.
The performance of the preemptive algorithm is dependent on the preemptive ratio α. It is
clear from the analysis that preemptive algorithm performs better than DSR. But the offered load
on the network is more in preemptive protocol as continuously the signal strength and the age of
the path has to be examined and warning messages are to be sent back immediately.
As a part of future work, this algorithm can be implemented over energy aware routing
protocols available in the literature.
ACKNOWLEDGEMENT
The authors would like to thank everyone, including the anonymous reviewers.
REFERENCES
[1] B. Cameron Lesiuk, “Routing in Adhoc Networks of Mobile Hosts”, MECH 590, Directed
studies with Dr.Gerard McLean, December 2, 1998
[2] Mehran Abolhasan, Tadeusz Wysocki, Eryk Dutkiewicz, “A Review of Routing Protocols for
Mobile Adhoc Networks”, Elsevier, Ad Hoc Networks 2004
[3] C Siva Ram Murthy and B S Manoj, “Adhoc Wireless Networks-Architectures and Protocols”,
Pearson education, 2004
[4] Ismail Ari, Neelu Jethani, Aniruddha Rangnekar, Sushma Natarajan, “Performance Analysis
and Comparison of Adhoc Routing Protocols”, IEEE transaction on Mobile Computing, 2000
[5] Elizabeth M. Belding-Royer, Charles E. Perkins, “Evolution and Future Directions of the
Adhoc On- demand Distance Vector RoutingPprotocol”, Elsevier, Adhoc Networks 2003
[6] C E Perkins and E M Royer, “On- demand Distance Vector Routing”, Proceedings, IEEE
workshop on mobile computing systems and applications, February, 1999
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200
400
600
800
1 2 3 4 5 6 7
Node Density
PacketLoss
Γ=0.6
Γ=0.7
Γ=0.8
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[7] Mohammad Al-Shurman and Seong-Moo Yoo, Seungjin Park, “A Performance Simulation for
Route Maintenance in Wireless Ad Hoc Networks”, ACM,2004
[8] B R Sujatha, K S Shivaprakasha, Siddiq Iqbal, M V Satyanarayana, “A Comparative Study of
Routing Protocols in Mobile Adhoc Networks”, Proceedings of National Conference on VLSI
design, Signal processing and Communication, NCVSPCom-2007,pp 148-151
[9] T. Bheemarjuna Reddy, I. Karthigeyan, B.S. Manoj, C. Siva Ram Murthy,” Quality of service
Provisioning in Ad hoc Wireless Networks: A Survey of Issues and Solutions”, Ad Hoc Networks 4
(2006) 83–124, Elsevier
[10] K S Shivaprakasha, B R Sujatha, Siddiq Iqbal, “Performance Analysis of Routing Protocols
in MANETs”, Proceedings of National Conference on Recent Trends in Electronics and
Communication, Kurnool, AP, pp 35-39
[11] T. S. Rappaport, “Wireless Communication Systems”, Prentice Hall, 1996.
[12] M C Domingo, D Remondo and O. Leon, “A Simple Routing Scheme for Improving Adhoc
Network Survivability”, GLOBECOM, IEEE, 2003
[13] D B Johnson and D A Maltz, “DSR-The Dynamic Source Routing Protocol for Multihop
Wireless Adhoc Networking”, Charles E, Perkins,Addison Wesley,2001
[14] Tom Goff, Nael B. Abu-Ghazaleh, Dhananjay S. Phatakand Ridvan Kahvecioglu
“Preemptive Routing in AdHoc Networks”, ACM SIGMOBILE 7/01 Rome, Italy
[15] NS-2: Network Simulator
[Courtesy: http:// www.isi.edu/ nsnam/ns/]
[16] Kevin Fall Kannan Varadhan, “The ns Manual”
[Courtesy: http://www.isi.edu/nsnam/ns/ns-documentation.]
Authors
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Ms. Sujatha.B.R is a Ph.D student and also working as
Assistant Professor in the Department of Electronics and
Communication at Malnad College of Engineering, Hassan,
India. She received her ME degree in Electrical
Communication Engineering from Indian Institute of
Science, Bangalore and BE degree from University of
Mysore. Her research spans Wireless Communication,
Computer Networks and Ad Hoc Networks.
Dr. M V Sathyanarayana is Professor in the Department
of Electronics and Communication at Malnad College of
Engineering, Hassan, India. He received his Ph.D degree
in Electrical Communication Engineering from Indian
Institute of Science, Bangalore, MTech from National
Institute of Technology, Karnataka and BE degree from
University of Mysore. His research spans Optical
Communication, Computer Networks, Ad Hoc Networks
and Data Mining.