This document summarizes and compares several hierarchical routing protocols for wireless sensor networks that aim to improve energy efficiency and increase network lifetime. It discusses Low-Energy Adaptive Clustering Hierarchy (LEACH), Energy LEACH (e-LEACH), Power-Efficient Gathering in Sensor Information Systems (PEGASIS), Threshold-sensitive Energy Efficient sensor Network (TEEN), and Hybrid Energy-Efficient Distributed clustering (HEED). It compares the protocols based on their concept, achieved network lifetime, energy efficiency, and drawbacks. LEACH uses random cluster head selection while e-LEACH selects heads based on residual energy. PEGASIS forms chains to reduce distances between nodes but has single point failures. TEEN
Abstract Now a day’s wireless sensor network has become an interesting research field. Network life time and energy efficiency are one of the main concerns for wireless sensor networks. Sensors are constrained in terms of battery power, storage, limited processing capacity etc. Because of these reasons new protocols are proposed for wireless sensor network. This paper only deals with cluster based hierarchical protocol TEEN (Threshold Sensitive Energy Efficient Sensor Network Protocol). The sensor network architecture in TEEN is based on a hierarchical clustering. TEEN is data-centric, reactive, event-driven protocol which is best suited for time critical application. It transmits data based on hard threshold and soft threshold values. If the thresholds are not reached, then nodes will never communicate. The user will not get any data from network and will not come to know if all the nodes die. So, user will not be able to distinguish between how many nodes are alive or dead in network and will not be able to know about network lifetime. This paper deals with that node will be able to tell base station or sink before leaving network and base station will be aware of alive and dead nodes in the network. Keywords: WSN; TEEN (Threshold Sensitive Energy Efficient Clustering); Hard Threshold; Soft Threshold;
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This paper considers a heterogeneous network of energy constrained sensors deployed over a region. Each
Normal sensor node in a network is systematically gathering and transmitting sensed data to the clusterhead,
and then cluster head sending data to a base station (via intermediate cluster- heads). This paper
focuses on reducing the energy consumption and hence improving lifetime of wireless sensor Networks.
Clustering sensor node is an effective topology for the energy constrained networks. So energy saving
algorithm has been developed in which clusters are formed considering a subset of high energy nodes as a
cluster-head and another subset of powerful nodes is ask to go to sleep. When Cluster heads deplete their
energy another subset of nodes becomes active and acts as a cluster head. Proposed approach is
implemented in MATLAB, Simulation results shows that it can prolong the network lifetime than LEACH
protocol, and achieves better performance than the existing clustering algorithms such as LEACH.
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.
Throughput analysis of energy aware routing protocol for real time load distr...eSAT Journals
Abstract Wireless sensor network (WSNs) are self-organized systems that depend on highly distributed and scattered low cost tiny devices. These devices have some limitations such as processing capability, memory size, communication distance coverage and energy capabilities. In order to maximize the autonomy of individual nodes and indirectly the lifetime of the network, most of the research work is done on power saving techniques. Hence, we propose energy-aware load distribution technique that can provide an excellent data transfer of packets from source to destination via hop by hop basis. Therefore, by making use of the cross-layer interactions between the physical layer and the network layer thus leads to an improvement in energy efficiency of the entire network when compared with other protocols and it also improves the response time in case of network change. Keywords:- wireless sensor network, energy-aware, load distribution, power saving, cross layer interactions.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
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
Energy Efficient Data Aggregation in Wireless Sensor Networks: A Surveyijsrd.com
The use of Wireless Sensor Networks (WSNs) is anticipated to bring lot of changes in data gathering, processing and dissemination for different environments and applications. However, a WSN is a power constrained system, since nodes run on limited power batteries which shorten its lifespan. Prolonging the network lifetime depends on efficient management of sensing node energy resource. Energy consumption is therefore one of the most crucial design issues in WSN. Hierarchical routing protocols are best known in regard to energy efficiency. By using a clustering technique hierarchical routing protocols greatly minimize energy consumed in collecting and disseminating data. To prolong the lifetime of the sensor nodes, designing efficient routing protocols is critical. In this paper, we have discussed various energy efficient data aggregation protocols for sensor networks.
Abstract Now a day’s wireless sensor network has become an interesting research field. Network life time and energy efficiency are one of the main concerns for wireless sensor networks. Sensors are constrained in terms of battery power, storage, limited processing capacity etc. Because of these reasons new protocols are proposed for wireless sensor network. This paper only deals with cluster based hierarchical protocol TEEN (Threshold Sensitive Energy Efficient Sensor Network Protocol). The sensor network architecture in TEEN is based on a hierarchical clustering. TEEN is data-centric, reactive, event-driven protocol which is best suited for time critical application. It transmits data based on hard threshold and soft threshold values. If the thresholds are not reached, then nodes will never communicate. The user will not get any data from network and will not come to know if all the nodes die. So, user will not be able to distinguish between how many nodes are alive or dead in network and will not be able to know about network lifetime. This paper deals with that node will be able to tell base station or sink before leaving network and base station will be aware of alive and dead nodes in the network. Keywords: WSN; TEEN (Threshold Sensitive Energy Efficient Clustering); Hard Threshold; Soft Threshold;
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This paper considers a heterogeneous network of energy constrained sensors deployed over a region. Each
Normal sensor node in a network is systematically gathering and transmitting sensed data to the clusterhead,
and then cluster head sending data to a base station (via intermediate cluster- heads). This paper
focuses on reducing the energy consumption and hence improving lifetime of wireless sensor Networks.
Clustering sensor node is an effective topology for the energy constrained networks. So energy saving
algorithm has been developed in which clusters are formed considering a subset of high energy nodes as a
cluster-head and another subset of powerful nodes is ask to go to sleep. When Cluster heads deplete their
energy another subset of nodes becomes active and acts as a cluster head. Proposed approach is
implemented in MATLAB, Simulation results shows that it can prolong the network lifetime than LEACH
protocol, and achieves better performance than the existing clustering algorithms such as LEACH.
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.
Throughput analysis of energy aware routing protocol for real time load distr...eSAT Journals
Abstract Wireless sensor network (WSNs) are self-organized systems that depend on highly distributed and scattered low cost tiny devices. These devices have some limitations such as processing capability, memory size, communication distance coverage and energy capabilities. In order to maximize the autonomy of individual nodes and indirectly the lifetime of the network, most of the research work is done on power saving techniques. Hence, we propose energy-aware load distribution technique that can provide an excellent data transfer of packets from source to destination via hop by hop basis. Therefore, by making use of the cross-layer interactions between the physical layer and the network layer thus leads to an improvement in energy efficiency of the entire network when compared with other protocols and it also improves the response time in case of network change. Keywords:- wireless sensor network, energy-aware, load distribution, power saving, cross layer interactions.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
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
Energy Efficient Data Aggregation in Wireless Sensor Networks: A Surveyijsrd.com
The use of Wireless Sensor Networks (WSNs) is anticipated to bring lot of changes in data gathering, processing and dissemination for different environments and applications. However, a WSN is a power constrained system, since nodes run on limited power batteries which shorten its lifespan. Prolonging the network lifetime depends on efficient management of sensing node energy resource. Energy consumption is therefore one of the most crucial design issues in WSN. Hierarchical routing protocols are best known in regard to energy efficiency. By using a clustering technique hierarchical routing protocols greatly minimize energy consumed in collecting and disseminating data. To prolong the lifetime of the sensor nodes, designing efficient routing protocols is critical. In this paper, we have discussed various energy efficient data aggregation protocols for sensor networks.
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...IJMIT JOURNAL
Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality.
The most important issue in this type of networks is energy constraints. In this area several researches have
been done from which clustering is one of the most effective solutions. The goal of clustering is to divide
network into sections each of which has a cluster head (CH). The task of cluster heads collection, data
aggregation and transmission to the base station is undertaken. In this paper, we introduce a new approach
for clustering sensor networks based on Particle Swarm Optimization (PSO) algorithm using the optimal
fitness function, which aims to extend network lifetime. The parameters used in this algorithm are residual
energy density, the distance from the base station, intra-cluster distance from the cluster head. Simulation
results show that the proposed method is more effective compared to protocols such as (LEACH, CHEF,
PSO-MV) in terms of network lifetime and energy consumption.
Qos group based optimal retransmission medium access protocol for wireless se...IJCNCJournal
This paper presents, a Group Based Optimal Retransmission Medium Access (GORMA) Protocol is
designed that combines protocol of Collision Avoidance (CA) and energy management for low-cost, shortrange,
low-data rate and low-energy sensor nodes applications in environment monitoring, agriculture,
industrial plants etc. In this paper, the GORMA protocol focuses on efficient MAC protocol to provide
autonomous Quality of Service (QoS) to the sensor nodes in one-hop QoS retransmission group and two
QoS groups in WSNs where the source nodes do not have receiver circuits. Hence, they can only transmit
data to a sink node, but cannot receive any control signals from the sink node. The proposed protocol
GORMA provides QoS to the nodes which work independently on predefined time by allowing them to
transmit each packet an optimal number of times within a given period. Our simulation results shows that
the performance of GORMA protocol, which maximize the delivery probability of one-hop QoS group and
two QoS groups and minimize the energy consumption.
Maximizing Lifetime of Homogeneous Wireless Sensor Network through Energy Eff...CSCJournals
The objective of this paper is to develop a mechanism to increase the lifetime of homogeneous wireless sensor networks (WSNs) through minimizing long range communication, efficient data delivery and energy balancing. Energy efficiency is a very important issue for sensor nodes which affects the lifetime of sensor networks. To achieve energy balancing and maximizing network lifetime we divided the whole network into different clusters. In cluster based architecture, the role of aggregator node is very crucial because of extra processing and long range communication. Once the aggregator node becomes non functional, it affects the whole cluster. We introduced a candidate cluster head node on the basis of node density. We proposed a modified cluster based WSN architecture by introducing a server node (SN) that is rich in terms of resources. This server node (SN) takes the responsibility of transmitting data to the base station over longer distances from the cluster head. We proposed cluster head selection algorithm based on residual energy, distance, reliability and degree of mobility. The proposed method can save overall energy consumption and extend the lifetime of the sensor network and also addresses robustness against even/uneven node deployment.
ENERGY EFFICIENT AGGREGATION WITH DIVERGENT SINK PLACEMENT FOR WIRELESS SENSO...ijasuc
In WSN the data aggregation is a means for condensing the energy requirement by reducing number of
transmission by combining the data and sending the final required result to the base station. The lifetime
of the WSN can be improved by employing the aggregation techniques. During the process of aggregation
the numbers of transmission are reduced by combining the similar data from the nearby areas. By using
the clustering technique and aggregating the correlated data greatly minimize the energy consumed in
collecting and disseminating the data. In this work, we evaluate the performance of a novel energy
efficient cluster based aggregation protocol (EECAP) for WSN. The main focus in this proposed work is
to study the performance of our proposed aggregation protocol with divergent sink placements such as
when sink is at the centre of the sensing field, corner of the sensing field or at a location selected
randomly in the sensor field. We present experimental results by calculating the lifetime of network in
terms of number of sensing rounds using various parameters such as – average remaining energy of
nodes, number of dead nodes after the specified number of sensing rounds. Finally the performance of
various aggregation algorithms such as LEACH, SEP and our proposed aggregation protocol (EECAP)
are compared with divergent sink placements. The simulation results demonstrates that EECAP exhibits
good performance in terms of lifetime and the energy consumption of the wireless sensor networks and
which can be as equally compared with existing clustering protocols.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
A QoI Based Energy Efficient Clustering for Dense Wireless Sensor Networkijassn
In a wireless sensor network Quality of Information (QoI), Energy Efficiency, Redundant data avoidance,
congestion control are the important metrics that affect the performance of wireless sensor network. As
many approaches were proposed to increase the performance of a wireless sensor network among them
clustering is one of the efficient approaches in sensor network. Many clustering algorithms concentrate
mainly on power Optimization like FSCH, LEACH, and EELBCRP. There is necessity of the above
metrics in wireless sensor network where nodes are densely deployed in a given network area. As the nodes
are deployed densely there is maximum possibility of nodes appear in the sensing region of other nodes. So
there exists an option that nodes have to send the information that is already reached the base station by its
own cluster members or by members of other clusters. This mechanism will affect the QoI, Energy factor
and congestion control of the wireless sensor networks. Even though clustering uses TDMA (Time Division
Multiple Access) for avoiding congestion control for intra clustering data transmission, but it may fail in
some critical situation. This paper proposed a energy efficient clustering which avoid data redundancy in a
dense sensor network until the network becomes sparse and hence uses the TDMA efficiently during high
density of the nodes.
ALL ABOUT DATA AGGREGATION IN WIRELESS SENSOR NETWORKSEditor IJCTER
A wireless sensor network is a computer network that consists of small devices called
sensor nodes. These sensor nodes have the ability to sense different environmental conditions like
temperature, pressure, etc. All these sensor nodes send their data to a central node or base station.
This creates a large communication overhead the energy source for these nodes is usually a battery.
This gives rise to huge consumption of energy and resources. So a solution is required that
overcomes the above problems. Data aggregation is one of its solutions. This method consists of
aggregators that combine the data coming from the sensor nodes and then passes it to the base
station. With the help of data aggregation we reduce the energy consumption by eliminating
redundancy and we can enhance the life time of wireless network. The purpose of the proposed paper
is to explain data aggregation in wireless sensor network, how it works, different techniques of data
aggregation and the comparison among them.
Mobile Ad HOC networks (MANET’S) are networks in which all nodes are mobile and
communicate with each other via wireless connections. Nodes can join or leave the network at any
time. There is no fixed infrastructure. Research and industries are recently more interesting and
attracting to the VANET and MANET development domain. A vehicular ad hoc network (VANET)
is a subclass of MANET. In this paper, we propose Bee Routing Protocol for Ad Hoc Network, in
which a new quality of service multipath routing protocol adapted for the VANET. This algorithm is
a reactive source routing algorithm and consumes less energy as compared to DSDV, AODV, DSR
routing algorithms because a fewer control packets for routing are sent as compared to other
networks.
Data Collection Method to Improve Energy Efficiency in Wireless Sensor NetworkKhushbooGupta145
Wireless Sensor Networks (WSNs) are generally self-organized wireless ad hoc networks which incorporate a huge number of sensor nodes which are resource constraint. Among the tasks of WSN, one most essential task is to collect the data
and transmits the gathered data to a distant base station (BS). The effectiveness of WSNs can be calculated in terms of network lifetime. Data collection is a frequent operation but analytical and critical operation in many WSN’s
application. To prolong network lifetime innovative technique that can improve
energy efficiency are highly required. This paper presents a survey for
designing Energy Efficient Data Collection Methods used for prolonging network lifetime in Wireless Sensor Network (WSN). The study highlights the importance of different Data conditions for various purposes like emergency response, medical monitoring, military applications, surveillance in volcanic or
remote regions, etc. Different Data Collection methods like data aggregation clusters, data aggregation trees, network coding, correlation dominating set etc. are considered in detail in this study. Furthermore, a comparison of different Data Collection Method based on the network lifetime, energy efficiency,
complexity of the algorithm, transmission cost and fusion cost is done.
An Energy Efficient Protocol To Increase Network Life In WSNIOSR Journals
Abstract : Wireless Sensor Network consists of several sensor nodes, these nodes loss some of their energy after the process of communication. So an energy efficient approach is required to improve the life of the network. In case of broadcast network, LEACH protocol uses an aggregative approach by creating cluster of nodes. Now the major concern is to built such clusters over WSN in an optimized way. This work presents the improvement over LEACH protocol. Hence we have different work environments where the network is having different capacities. The proposed work shows how the life time of the network will improve when the number of nodes varies within the network. Keywords - LEACH, energy, lifetime, cluster based, WSN\
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...IJMIT JOURNAL
Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality.
The most important issue in this type of networks is energy constraints. In this area several researches have
been done from which clustering is one of the most effective solutions. The goal of clustering is to divide
network into sections each of which has a cluster head (CH). The task of cluster heads collection, data
aggregation and transmission to the base station is undertaken. In this paper, we introduce a new approach
for clustering sensor networks based on Particle Swarm Optimization (PSO) algorithm using the optimal
fitness function, which aims to extend network lifetime. The parameters used in this algorithm are residual
energy density, the distance from the base station, intra-cluster distance from the cluster head. Simulation
results show that the proposed method is more effective compared to protocols such as (LEACH, CHEF,
PSO-MV) in terms of network lifetime and energy consumption.
Qos group based optimal retransmission medium access protocol for wireless se...IJCNCJournal
This paper presents, a Group Based Optimal Retransmission Medium Access (GORMA) Protocol is
designed that combines protocol of Collision Avoidance (CA) and energy management for low-cost, shortrange,
low-data rate and low-energy sensor nodes applications in environment monitoring, agriculture,
industrial plants etc. In this paper, the GORMA protocol focuses on efficient MAC protocol to provide
autonomous Quality of Service (QoS) to the sensor nodes in one-hop QoS retransmission group and two
QoS groups in WSNs where the source nodes do not have receiver circuits. Hence, they can only transmit
data to a sink node, but cannot receive any control signals from the sink node. The proposed protocol
GORMA provides QoS to the nodes which work independently on predefined time by allowing them to
transmit each packet an optimal number of times within a given period. Our simulation results shows that
the performance of GORMA protocol, which maximize the delivery probability of one-hop QoS group and
two QoS groups and minimize the energy consumption.
Maximizing Lifetime of Homogeneous Wireless Sensor Network through Energy Eff...CSCJournals
The objective of this paper is to develop a mechanism to increase the lifetime of homogeneous wireless sensor networks (WSNs) through minimizing long range communication, efficient data delivery and energy balancing. Energy efficiency is a very important issue for sensor nodes which affects the lifetime of sensor networks. To achieve energy balancing and maximizing network lifetime we divided the whole network into different clusters. In cluster based architecture, the role of aggregator node is very crucial because of extra processing and long range communication. Once the aggregator node becomes non functional, it affects the whole cluster. We introduced a candidate cluster head node on the basis of node density. We proposed a modified cluster based WSN architecture by introducing a server node (SN) that is rich in terms of resources. This server node (SN) takes the responsibility of transmitting data to the base station over longer distances from the cluster head. We proposed cluster head selection algorithm based on residual energy, distance, reliability and degree of mobility. The proposed method can save overall energy consumption and extend the lifetime of the sensor network and also addresses robustness against even/uneven node deployment.
ENERGY EFFICIENT AGGREGATION WITH DIVERGENT SINK PLACEMENT FOR WIRELESS SENSO...ijasuc
In WSN the data aggregation is a means for condensing the energy requirement by reducing number of
transmission by combining the data and sending the final required result to the base station. The lifetime
of the WSN can be improved by employing the aggregation techniques. During the process of aggregation
the numbers of transmission are reduced by combining the similar data from the nearby areas. By using
the clustering technique and aggregating the correlated data greatly minimize the energy consumed in
collecting and disseminating the data. In this work, we evaluate the performance of a novel energy
efficient cluster based aggregation protocol (EECAP) for WSN. The main focus in this proposed work is
to study the performance of our proposed aggregation protocol with divergent sink placements such as
when sink is at the centre of the sensing field, corner of the sensing field or at a location selected
randomly in the sensor field. We present experimental results by calculating the lifetime of network in
terms of number of sensing rounds using various parameters such as – average remaining energy of
nodes, number of dead nodes after the specified number of sensing rounds. Finally the performance of
various aggregation algorithms such as LEACH, SEP and our proposed aggregation protocol (EECAP)
are compared with divergent sink placements. The simulation results demonstrates that EECAP exhibits
good performance in terms of lifetime and the energy consumption of the wireless sensor networks and
which can be as equally compared with existing clustering protocols.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
A QoI Based Energy Efficient Clustering for Dense Wireless Sensor Networkijassn
In a wireless sensor network Quality of Information (QoI), Energy Efficiency, Redundant data avoidance,
congestion control are the important metrics that affect the performance of wireless sensor network. As
many approaches were proposed to increase the performance of a wireless sensor network among them
clustering is one of the efficient approaches in sensor network. Many clustering algorithms concentrate
mainly on power Optimization like FSCH, LEACH, and EELBCRP. There is necessity of the above
metrics in wireless sensor network where nodes are densely deployed in a given network area. As the nodes
are deployed densely there is maximum possibility of nodes appear in the sensing region of other nodes. So
there exists an option that nodes have to send the information that is already reached the base station by its
own cluster members or by members of other clusters. This mechanism will affect the QoI, Energy factor
and congestion control of the wireless sensor networks. Even though clustering uses TDMA (Time Division
Multiple Access) for avoiding congestion control for intra clustering data transmission, but it may fail in
some critical situation. This paper proposed a energy efficient clustering which avoid data redundancy in a
dense sensor network until the network becomes sparse and hence uses the TDMA efficiently during high
density of the nodes.
ALL ABOUT DATA AGGREGATION IN WIRELESS SENSOR NETWORKSEditor IJCTER
A wireless sensor network is a computer network that consists of small devices called
sensor nodes. These sensor nodes have the ability to sense different environmental conditions like
temperature, pressure, etc. All these sensor nodes send their data to a central node or base station.
This creates a large communication overhead the energy source for these nodes is usually a battery.
This gives rise to huge consumption of energy and resources. So a solution is required that
overcomes the above problems. Data aggregation is one of its solutions. This method consists of
aggregators that combine the data coming from the sensor nodes and then passes it to the base
station. With the help of data aggregation we reduce the energy consumption by eliminating
redundancy and we can enhance the life time of wireless network. The purpose of the proposed paper
is to explain data aggregation in wireless sensor network, how it works, different techniques of data
aggregation and the comparison among them.
Mobile Ad HOC networks (MANET’S) are networks in which all nodes are mobile and
communicate with each other via wireless connections. Nodes can join or leave the network at any
time. There is no fixed infrastructure. Research and industries are recently more interesting and
attracting to the VANET and MANET development domain. A vehicular ad hoc network (VANET)
is a subclass of MANET. In this paper, we propose Bee Routing Protocol for Ad Hoc Network, in
which a new quality of service multipath routing protocol adapted for the VANET. This algorithm is
a reactive source routing algorithm and consumes less energy as compared to DSDV, AODV, DSR
routing algorithms because a fewer control packets for routing are sent as compared to other
networks.
Data Collection Method to Improve Energy Efficiency in Wireless Sensor NetworkKhushbooGupta145
Wireless Sensor Networks (WSNs) are generally self-organized wireless ad hoc networks which incorporate a huge number of sensor nodes which are resource constraint. Among the tasks of WSN, one most essential task is to collect the data
and transmits the gathered data to a distant base station (BS). The effectiveness of WSNs can be calculated in terms of network lifetime. Data collection is a frequent operation but analytical and critical operation in many WSN’s
application. To prolong network lifetime innovative technique that can improve
energy efficiency are highly required. This paper presents a survey for
designing Energy Efficient Data Collection Methods used for prolonging network lifetime in Wireless Sensor Network (WSN). The study highlights the importance of different Data conditions for various purposes like emergency response, medical monitoring, military applications, surveillance in volcanic or
remote regions, etc. Different Data Collection methods like data aggregation clusters, data aggregation trees, network coding, correlation dominating set etc. are considered in detail in this study. Furthermore, a comparison of different Data Collection Method based on the network lifetime, energy efficiency,
complexity of the algorithm, transmission cost and fusion cost is done.
An Energy Efficient Protocol To Increase Network Life In WSNIOSR Journals
Abstract : Wireless Sensor Network consists of several sensor nodes, these nodes loss some of their energy after the process of communication. So an energy efficient approach is required to improve the life of the network. In case of broadcast network, LEACH protocol uses an aggregative approach by creating cluster of nodes. Now the major concern is to built such clusters over WSN in an optimized way. This work presents the improvement over LEACH protocol. Hence we have different work environments where the network is having different capacities. The proposed work shows how the life time of the network will improve when the number of nodes varies within the network. Keywords - LEACH, energy, lifetime, cluster based, WSN\
Low-energy adaptive clustering hierarchy ("LEACH") is a TDMA-based MAC protocol which is integrated with clustering and a simple routing protocol in wireless sensor networks (WSNs)
INCREASING WIRELESS SENSOR NETWORKS LIFETIME WITH NEW METHODijwmn
One of the most important issues in Wireless Sensor Networks (WSNs) is severe energy restrictions. As the
performance of Sensor Networks is strongly dependence to the network lifetime, researchers seek a way to
use node energy supply effectively and increasing network lifetime. As a consequence, it is crucial to use
routing algorithms result in decrease energy consumption and better bandwidth utilization. The purpose of
this paper is to increase Wireless Sensor Networks lifetime using LEACH-algorithm. So before clustering
Network environment, it is divided into two virtual layers (using distance between sensor nodes and base
station) and then regarding to sensors position in each of two layers, residual energy of sensor and
distance from base station is used in clustering. In this article, we compare proposed algorithm with wellknown LEACH and ELEACH algorithms in homogenous environment (with equal energy for all sensors)
and heterogeneous one (energy of half of sensors get doubled), also for static and dynamic situation of base
station. Results show that our proposed algorithm delivers improved performance.
INCREASING WIRELESS SENSOR NETWORKS LIFETIME WITH NEW METHODijwmn
One of the most important issues in Wireless Sensor Networks (WSNs) is severe energy restrictions. As the
performance of Sensor Networks is strongly dependence to the network lifetime, researchers seek a way to
use node energy supply effectively and increasing network lifetime. As a consequence, it is crucial to use
routing algorithms result in decrease energy consumption and better bandwidth utilization. The purpose of
this paper is to increase Wireless Sensor Networks lifetime using LEACH-algorithm. So before clustering
Network environment, it is divided into two virtual layers (using distance between sensor nodes and base
station) and then regarding to sensors position in each of two layers, residual energy of sensor and
distance from base station is used in clustering. In this article, we compare proposed algorithm with wellknown LEACH and ELEACH algorithms in homogenous environment (with equal energy for all sensors)
and heterogeneous one (energy of half of sensors get doubled), also for static and dynamic situation of base
station. Results show that our proposed algorithm delivers improved performance.
Energy efficient data communication approach in wireless sensor networksijassn
Wireless sensor network has a vast variety of applications. The adoption of energy efficient cluster-based
configuration has many untapped desirable benefits for the WSNs. The limitation of energy in a sensor
node creates challenges for routing in WSNs. The research work presents the organized and detailed
description of energy conservation method for WSNs. In the proposed method reclustering and multihop
data transmission processes are utilized for data reporting to base station by sensor node. The accurate use
of energy in WSNs is the main challenge for exploiting the network to the full extent. The main aim of the
proposed method is that by evenly distributing the energy all over the sensor nodes and by reducing the
total energy dissipation, the lifetime of the network is enhanced, so that the node will remain alive for
longer times inside the cluster. The result shows that the proposed clustering approach has higher stable
region and network life time than Topology-Controlled Adaptive Clustering (TCAC) and Low-Energy
Adaptive Clustering Hierarchy (LEACH) for WSNs.
ENERGY EFFICIENT DATA COMMUNICATION APPROACH IN WIRELESS SENSOR NETWORKSijassn
Wireless sensor network has a vast variety of applications. The adoption of energy efficient cluster-based configuration has many untapped desirable benefits for the WSNs. The limitation of energy in a sensor node creates challenges for routing in WSNs. The research work presents the organized and detailed description of energy conservation method for WSNs. In the proposed method reclustering and multihop data transmission processes are utilized for data reporting to base station by sensor node. The accurate use of energy in WSNs is the main challenge for exploiting the network to the full extent. The main aim of the proposed method is that by evenly distributing the energy all over the sensor nodes and by reducing the total energy dissipation, the lifetime of the network is enhanced, so that the node will remain alive for longer times inside the cluster. The result shows that the proposed clustering approach has higher stable region and network life time than Topology-Controlled Adaptive Clustering (TCAC) and Low-Energy Adaptive Clustering Hierarchy (LEACH) for WSNs.
Analysis of different hierarchical routing protocols of wireless sensor networkeSAT Journals
Abstarct Wireless sensored network is nowadays very popular in the field of research because world is now switching faster from wired communication to the wireless communication. It is used in environment monitoring, habitat monitoring, battlefield etc. WSN is made up of tiny sensor nodes which senses the data and communicate to the base station via other nodes.WSN networks are data-centric rather than node centric. So, main issues in WSN networks are energy consumption of network, lifetime of a network, delay, latency, quality of service etc.WSN has defined many routing protocols for the network. The main challenge in WSN is to design a routing protocol which gives the maximum energy efficient routing because nodes in sensored network are equipped with the battery. So, as time passes the battery of nodes will decrease so in turn network lifetime will decreases. There are many routing protocols which are classified as their working and their application to different conditions. This paper describes a brief information about routing protocols. The main focus of this paper is to give the comparison of different hierarchical routing protocols. Keywords: Leach, Pegasis,Teen/Apteen, WSN
Analysis of different hierarchical routing protocols of wireless sensor networkeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Data gathering in wireless sensor networks using intermediate nodesIJCNCJournal
Energy consumption is an essential concern to Wireless Sensor Networks (WSNs).The major cause of the energy consumption in WSNs is due to the data aggregation. A data aggregation is a process of collecting data from sensor nodes and transmitting these data to the sink node or base station. An effective way to perform such a task is accomplished by using clustering. In clustering, nodes are grouped into clusters where a number of nodes, called cluster heads, are responsible for gathering data from other nodes, aggregate them and transmit them to the Base Station (BS).
In this paper we produce a new algorithm which focused on reducing the transmission bath between sensor nodes and cluster heads. A proper utilization and reserving of the available power resources is achieved with this technique compared to the well-known LEACH_C algorithm.
WIRELESS SENSOR NETWORK CLUSTERING USING PARTICLES SWARM OPTIMIZATION FOR RED...IJMIT JOURNAL
Wireless sensor networks (WSN) is composed of a large number of small nodes with limited functionality. The most important issue in this type of networks is energy constraints. In this area several researches have been done from which clustering is one of the most effective solutions. The goal of clustering is to divide network into sections each of which has a cluster head (CH). The task of cluster heads collection, data aggregation and transmission to the base station is undertaken. In this paper, we introduce a new approach for clustering sensor networks based on Particle Swarm Optimization (PSO) algorithm using the optimal fitness function, which aims to extend network lifetime. The parameters used in this algorithm are residual energy density, the distance from the base station, intra-cluster distance from the cluster head. Simulation results show that the proposed method is more effective compared to protocols such as (LEACH, CHEF, PSO-MV) in terms of network lifetime and energy consumption.
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...ijwmn
A wireless sensor network is composed of many sensor nodes, that have beengiven out in a
specific zoneandeach of them hadanability of collecting information from the environment and
sending collected data to the sink. The most significant issues in wireless sensor networks,
despite the recent progress is the trouble of the severe limitations of energy resources.Since that
in different applications of sensor nets, we could throw a static or mobile sink, then all aspects of
such networks should be planned with an awareness of energy.One of the most significant topics
related to these networks, is routing. One of the most widely used and efficient methods of
routing isa hierarchy (based on clustering) method.
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...ijwmn
A wireless sensor network is composed of many sensor nodes, that have beengiven out in a
specific zoneandeach of them hadanability of collecting information from the environment and
sending collected data to the sink. The most significant issues in wireless sensor networks,
despite the recent progress is the trouble of the severe limitations of energy resources.Since that
in different applications of sensor nets, we could throw a static or mobile sink, then all aspects of
such networks should be planned with an awareness of energy.One of the most significant topics
related to these networks, is routing. One of the most widely used and efficient methods of
routing isa hierarchy (based on clustering) method.
In The present study with the objective of cutting down energy consumption and persistence of
network coverage, we have offered a novel algorithm based on clustering algorithms and multihop routing.To achieve this goal, first, we layer the network environment based on the size of the
network.We will identify the optimal number of cluster heads and every cluster head based on
the mechanism of topology control will start to accept members.Likewise, we set the first layer
as gate layer and subsequently identifying the gate’s nodes, we’d turn away half of the sensors
and then stop using energy and the remaining nodes in this layer will join the gate’s nodes
because they hold a critical part in bettering the functioning of the system. Cluster heads off
following layers send the information to cluster heads in the above layer until sent data will be
sent to gate’s nodes and finally will be sent to sink. We have tested the proposed algorithm in
two situations 1) when the sink is off and 2)when a sink is on and simulation data shows that
proposed algorithm has better performance in terms of the life span of a network than LEACH
and ELEACH protocols.
Designing an Energy Efficient Clustering in Heterogeneous Wireless Sensor Net...IJCNCJournal
Designing an energy-efficient scheme in a Heterogeneous Wireless Sensor Network (HWSN) is a critical issue that degrades the network performance. Recharging and providing security to the sensor devices is very difficult in an unattended environment once the energy is drained off. A Clustering scheme is an important and suitable approach to increase energy efficiency and transmitting secured data which in turn enhances the performance in the network. The proposed algorithm Energy Efficient Clustering (EEC) works for optimum energy utilization in sensor nodes. The algorithm is proposed by combining the rotation-based clustering and energy-saving mechanism for avoiding the node failure and prolonging the network lifetime. This shows MAC layer scheduling is based on optimum energy utilization depending on the residual energy. In the proposed work, a densely populated network is partitioned into clusters and all the cluster heads are formed at a time and selected on rotation based on considering the highest energy of the sensor nodes. Other cluster members are accommodated in a cluster based on Basic Cost Maximum flow (BCMF) to allow the cluster head for transmitting the secured data. Carrier Sense Multiple Access (CSMA), a contention window based protocol is used at the MAC layer for collision detection and to provide channel access prioritization to HWSN of different traffic classes with reduction in End to End delay, energy consumption, and improved throughput and Packet delivery ratio(PDR) and allowing the cluster head for transmission without depleting the energy. Simulation parameters of the proposed system such as Throughput, Energy, and Packet Delivery Ratio are obtained and compared with the existing system.
DESIGNING AN ENERGY EFFICIENT CLUSTERING IN HETEROGENEOUS WIRELESS SENSOR NET...IJCNCJournal
Designing an energy-efficient scheme in a Heterogeneous Wireless Sensor Network (HWSN) is a critical
issue that degrades the network performance. Recharging and providing security to the sensor devices is
very difficult in an unattended environment once the energy is drained off. A Clustering scheme is an
important and suitable approach to increase energy efficiency and transmitting secured data which in turn
enhances the performance in the network. The proposed algorithm Energy Efficient Clustering (EEC)
works for optimum energy utilization in sensor nodes. The algorithm is proposed by combining the
rotation-based clustering and energy-saving mechanism for avoiding the node failure and prolonging the
network lifetime. This shows MAC layer scheduling is based on optimum energy utilization depending on
the residual energy. In the proposed work, a densely populated network is partitioned into clusters and all
the cluster heads are formed at a time and selected on rotation based on considering the highest energy of
the sensor nodes. Other cluster members are accommodated in a cluster based on Basic Cost Maximum
flow (BCMF) to allow the cluster head for transmitting the secured data. Carrier Sense Multiple Access
(CSMA), a contention window based protocol is used at the MAC layer for collision detection and to
provide channel access prioritization to HWSN of different traffic classes with reduction in End to End
delay, energy consumption, and improved throughput and Packet delivery ratio(PDR) and allowing the
cluster head for transmission without depleting the energy. Simulation parameters of the proposed system
such as Throughput, Energy, and Packet Delivery Ratio are obtained and compared with the existing
system.
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)ijsrd.com
in the wireless sensor networks (WSNs), the sensor nodes (called motes) are usually scattered in a sensor field an area in which the sensor nodes are deployed. These motes are small in size and have limited processing power, memory and battery life. In WSNs, conservation of energy, which is directly related to network life time, is considered relatively more important souse of energy efficient routing algorithms is one of the ways to reduce the energy conservation. In general, routing algorithms in WSNs can be divided into flat, hierarchical and location based routing. There are two reasons behind the hierarchical routing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol be in explored. One, the sensor networks are dense and a lot of redundancy is involved in communication. Second, in order to increase the scalability of the sensor network keeping in mind the security aspects of communication. Cluster based routing holds great promise for many to one and one to many communication paradigms that are pre valentines or networks.
An efficient routing approach for aggregated data transmission along with per...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Similar to An energy efficient protocol based study of wsn to increase the lifetime (20)
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
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Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
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Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
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
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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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
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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Mobility of nodes
Less cost
To increase the energy efficiency, better routing protocols are needed. Even though, the sensors are limited by
battery, the sensor network having wide range of applicabity and deployment. In this paper, different protocols which use
the concept of clustering are studied and a comparison is made between them
2. WSN – AFFECTING FACTORS
In wireless sensor network, sensor nodes consume energy when it collects or senses the data, process the data,
transmit the data and receive the data. Data reception and transmission requires more power than collection, since it
passes the data from one node to the destination node via different intermediate nodes or through multiple paths .As the
data propagates through multiple paths needs more energy of each node and will affect the network lifetime .The wastage
of energy through communication as mentioned in [1][2] which is noted below.
• Idle Listening to the channel:
A sensor node is always listening to the idle channel to get the data destined for it.ie, the node doesn’t know
when the packet will come for it ,so the node will listen continuously to not to miss the packet, and it cause
significant amount of energy wastage.
• Collision of data:
The data collision are the main source of energy wastage ,because the collision will cause loss of packet and in
turn it requires the retransmission of that packet and reducing the power of the node .The collision occurs when
two or more nodes transmits or receives one or more packets at the same time or through the same path.
• Overhearing of data:
A node listens to the channel eventually even if it doesn’t have any data to transmit .That is node listens to the
packet that is not destined for it. It may cause reception of unwanted signals and energy wastage.
• Control data overhead:
Through the radio channel not only the data packets but also the control packets are transmitted between nodes
.The control packets provides control information for the communication in the network .A good energy
efficient routing for the WSN needs minimized amount of control packets along with the data packets so as to
reduce energy dissipation.
• Overmitting of data:
A packet will be lost, if the receiver is not at all ready to receive the message from the source but the source
have been already send .So it requires retransmission of the packet and energy will be wasted.
• Interference:
Interferences occurred during the transmission will cause energy wastage than without interference.
3. ENERGY EFFICIENT ROUTING TECHNIQUES USED IN WSN
The energy efficient routing protocols are aimed to reduce the energy dissipation and wastage of power so as to
improve the life of entire network. In Wireless Sensor Networks the routing protocols are selected in accordance with the
path which results in the prolonged life of the network and it also depends on the application in which it is deployed. The
different categories of the EER given in [1] are,
• Protocols relaying on Data
• Data centric
• Hierarchical or clustering based
• Geographical or Location based
• Mobility based
• Heterogeneous
4.CLUSTERING OR HIERARCHICAL BASED PROTOCOLS
This [3][4] category of EER guarantees significant amount of energy saving while communication. Clustering
or hierarchical protocols arranges the nodes to clusters and also improves the performance of the network.
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Fig.1: Clustering
The Sensor network is deployed in the area of interest and the area is clustered; that is each and every node in
the network becomes a member of any of the cluster but not more than one. One node from the each cluster taken as
leader node or the cluster head and this cluster head (CH) is responsible for the communication. Every other node in the
cluster will send the data to the CH rather than send to the base station (BS) directly .CH will collect and aggregate the
packets and transmit to the BS, thereby reducing the number of traffic to the base station and also reduces the energy
dissipation and so increasing the lifetime of the entire network.
The different types of hierarchical protocols are LEACH, e-LEACH, PEGASIS ,TEEN , APTEEN ,etc. In this
paper, some of these protocols are discussed below.
4.1 LEACH
LEACH [3][4][5] is a hierarchical protocol , means Low-Energy Adaptive Clustering Hierarchy. This protocol
is proposed by Dr.Wendi Rabnir Heinzelman. This protocol is mainly made by using the concept of clustering, i.e. It
selects the cluster head randomly and this CH will collect the data from the other nodes in the cluster and combines or
aggregates the data to reduce the size of the data packets and transmit it to other nodes. In the paper [5],it describes the
working of LEACH .The steps are,
1. Select initial network
2. Selection the cluster heads.
3. According to the CH divide network into clusters.
4. Compute the energy consumption of every node in the network.
5. Check whether the lifetime is closed or not.
6. If closed go to step 2.
7. Else give the output.
Fig.2: LEACH
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LEACH breaks downs the entire network into clusters and it will select the cluster head based on the energy.
That is high energy node will be selected as CH, it will change round to round. Every node will get a chance become the
CH, so that it will reduces the energy dissipation of individual nodes. It uses TDMA scheduling within the cluster and
Code Division Multiple Access is used for communicating between the clusters. LEACH performs local aggregation of
information or data from the sensor nodes in the network .It reduces the energy consumption by factor 7.Eventhough it
having some advantages it still suffers because of some drawbacks.
• LEACH protocol is inefficient to cover large area.
• It selects the CH randomly, no assurance for efficient energy management.
• Cluster heads are distributed non-uniformly; it can be at the edge.
4.2 Energy-LEACH
Its [5] an enhancement to the LEACH protocol by considering another important metric called residual energy.
In accordance with the residual energy it will decide whether a sensor node have to become a cluster head or not. This
protocol has more than one round. The working of Energy Leach is described in [5], is given here,
1. Start first round.
2. Select the nodes with more residual energy.
3. Compute residual energy of each node.
4. Check whether the energy computed is more than the scheduled energy.
5. If yes,
5.1. Select it as cluster head.
5.2. Broadcast the CH information to other nodes
6. If no,
6.1 Consider it as a common node
6.2 Send joining information to cluster head.
Fig.3: e-Leach
4.3 PEGASIS
PEGASIS [6] stands for Power Efficient Gathering in Sensor Information System is an improvement of LEACH
protocol and it is based on near optimal chain based technique .In this protocol each sensor node transmits or receive the
packet only to or from to the closest neighbor node only, that is only one node will communicate with the base station
once, means chances of collision is less and thereby we can improve the performance of the network by reducing energy
consumption. By sending data to the nearest node the nodes may form a chain starts from any selected node to the base
station i.e.; the communication overhead and energy load are distributed equally to each and every node in the network
.Through the chain the gathered or collected data from a node to the sink node is transmitted and average energy
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dissipation is minimized .This model is similar to the travelling sales man problem .It gains 100 to 300 percentage
improvement when compared with LEACH.
It works by using the concept token passing. The nodes which transmit the data to BS, that is the node which is
closer to BS will be the leader node, this node will be at random position in each round. The leader node will start the
communication by passing the token to the sending node. So the main problem in PEGASIS is the chances for single
point failure.
4.4 TEEN
TEEN [7][3][1] means Threshold Sensitive Energy Efficient Network is a protocol which is well suited for
reactive networks . It’s a combination of both hierarchical and data centric approaches .It arranges the sensor nodes into
multiple levels of hierarchy .That is it create cluster by grouping the nearest nodes in the primary level and same process
will repeats in each round until the sink node reaches .The energy consumption is reduced in TEEN by minimizing the
number of transmissions in the network. After the formation of cluster the CH is broadcasts by involvement of two
parameters known as Hard and Soft thresholds.
Hard Threshold: It is the sensed attribute’s threshold value. The node which senses this absolute value has to
switch on the transmitter and should report to CH.
Soft Threshold: A node has to switch on the transmitter and to transmit the data if any changes occurred to this
value.
TEEN is more good to save significant amount of energy but it cannot be used in the situations which require
periodic updates of sensed data. The implementation of this protocol is difficult as it requires multi level hierarchy,
attribute based naming etc.
4.5 HEED
HEED [3] is Hybrid Energy Efficient Distributed Clustering is a multi-hop clustering technique used to
minimize the energy consumption. The main aim of this protocol is to distribute the energy load to every node in the
network, minimizing the usage of energy during the CH selection and to decrease the overall control overhead over the
network. The cluster head selection in HEED is depending on two other parameters; Initial set of cluster head are
selected on the basis of the parameter residual energy and Intra cluster communication cost is the second parameter.
Lower the cost the more chance for communication between a node and its cluster head. Average Minimum Reachability
Power (AMRP) is used to find the cost; it is measured by taking the average value of minimum power level of each node
in the cluster.
5. COMPARISON
Table.1: Comparison
5. CONCLUSION
Wireless sensor networks are an emerging area and having many applications in different areas. But main issue
regarding WSN is minimized energy and lifetime. There are many studies undergoing in the network about the efficient
management of energy. In this paper different techniques were discussed to minimizing the energy dissipation and to
improve the lifetime of the network. And a comparative study between the different techniques is made to evaluate their
performance.
Protocols Main Concept Lifetime Energy
Efficient?
Drawback
LEACH Clustering Good Yes Random selection of
CH
Energy LEACH CH selection according
to residual energy
More than
LEACH
Yes Clustering overhead
PEGASIS Near optimal chain
based clustering
100-300 %
than LEACH
Yes Single point failure
TEEN Hierarchical method +
data centric
Good Yes Implementation
overhead
HEED Multi-hoping Good Yes Control and deploying
overhead
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[7] TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks, Arati Manjeshwar and
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