The wireless sensor network is composed of a set of nodes which energy is limited in terms of computing, storage and communication power. In this network, a few nodes become cluster head which causes the energetic heterogeneity of the network, therefore the behavior of the sensor network becomes very unstable as soon as the life of the first node is elapsed. SEP has proposed the extension of time to network stability before the death of the first node and the reduction of unstable time before
the death of the last node. This protocol is based on the election
of cluster head by the balance of the probabilities of the
remaining energy for each node. In this paper, we propose to improve SEP by fuzzy logic (SEP-FL). We show by simulation in MATLAB that the proposed method increases the stability period and decreases the instability of the sensor network compared with LEACH, LEACH-FL and SEP taking into account the energy level and the distance to the base station. We conclude by studying the parameters of heterogeneity as the protocol proposed (SEP-FL) provides a longer interval of stability for large values of additional energy brought by the more powerful nodes (advanced).
International Journal of Advanced Smart Sensor Network Systems (IJASSN)ijcseit
The placement of base stations in wireless sensor networks affect the energy consumption for
communication between sensor node and base station. In this paper we analyzed the performance of the
zone based clustering protocol [2] under varying position of base stations, different zone sizes and the
effect on network life time with multiple base stations. While evaluating the communication overhead of
various cluster sizes, we observed that the optimal cluster size for a given network is complex, depending
on a range of parameters. Simulation results show that communication overhead decreases as we increase
the number of zone in the network. We show that placing multiple base stations in place of single base
station in zone based routing protocol enhance the network life time.
Energy Efficient Zone Divided and Energy Balanced Clustering Routing Protocol...csijjournal
Wireless sensor network has proven its significance in almost every field in today’s era. Wireless sensor network consists of large number of sensor nodes distributed randomly in some areas. In WSN the main objective has been increasing the network lifetime. There is zone divisional approach which has shown sound improvement in increasing the network lifetime over the Leach and EEUC protocols. The proposed protocol Energy efficient zone divided and energy balanced clustering routing protocol (EEZECR) has not only much higher network lifetime as compare to ZECR and it also has much better load balancing in the network. In the EEZECR the concept of double cluster head in a cluster is introduced which reduces the load on cluster head and very efficiently does the task of load balancing in the network thoroughly which makes this protocol favorite for many real time applications. Simulations are performed in MATLAB.
Energy Curtailing with Huddling Practices with Fuzzy in Wireless Sensor Networkijsrd.com
Wireless sensor is a mounting field and energy conservation is always being in the peak challenges. Researchers have gone all the way through architectures and topologies that permit energy proficient operation in wireless sensor network. Clustering being stretchy helps to supplely mould the network according to the needs. Cluster head election and cluster formation is previously investigated by numerous researchers. In this paper, a proposed novel scheme the Fuzzy Abiding Cluster Head Formation Protocol (FACFP) that uses Mamdani’s fuzzy inference system in the process during cluster formation. We demonstrate that using multiple parameters in cluster formation can minimize the usage of energy. We will compare our proposed technique with well-known existing protocols to show that using multi parameter FIS enhances network lifetime and conserves energy utilization.
Energy Efficient Stable Election Protocol for Clustered Heterogeneous Wireles...IOSR Journals
This document summarizes an energy efficient stable election protocol (EE-SEP) for clustered heterogeneous wireless sensor networks. EE-SEP modifies the existing SEP protocol to improve energy efficiency, stability period, and network lifetime. It does this by calculating the optimal threshold value for selecting cluster heads based on the initial energy of sensor nodes, rather than the weighted election probability used in SEP. Simulations show EE-SEP performs better than SEP by increasing the number of alive nodes over time, reducing energy consumption, and prolonging network lifetime.
This document summarizes a research paper that proposes two methods called EFFORT and ANYCAST to maximize the lifetime of wireless sensor networks. EFFORT is an opportunistic routing protocol that improves path diversity and transmission reliability. ANYCAST is an asynchronous sleep-wake scheduling mechanism that arranges sensor nodes to sleep to reduce energy consumption. The document describes how EFFORT selects forwarder nodes based on an opportunistic energy cost metric (OECS) that considers several energy costs. It also explains how ANYCAST works by having sensor nodes wake independently during probing periods to relay data, then return to sleep if no response is received. Simulation results showed both EFFORT and ANYCAST effectively extend network lifetime compared to other routing
A Deterministic Heterogeneous Clustering Algorithmiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A gateway based energy efficient multi hop routing protocol for wireless sensor networks (WSNs) is
introduced. The main aim of our paper is to design a protocol which minimizes energy consumption.
Gateway nodes are deployed in sensing field.
The document presents an improved clustering algorithm for load balancing in wireless sensor networks. The algorithm aims to address uneven cluster sizes that can negatively impact load balancing. It does this by selecting master and vice master nodes to partition regions and subregions, aiming to make cluster sizes more balanced. The algorithm has setup and steady state phases. In the setup phase, regions are partitioned recursively if needed to select balanced cluster heads. In the steady state phase, nodes send data to their cluster heads, which then send aggregated data to the base station. Simulation results show the improved algorithm increases network lifetime and energy efficiency compared to LEACH and E-LEACH algorithms.
International Journal of Advanced Smart Sensor Network Systems (IJASSN)ijcseit
The placement of base stations in wireless sensor networks affect the energy consumption for
communication between sensor node and base station. In this paper we analyzed the performance of the
zone based clustering protocol [2] under varying position of base stations, different zone sizes and the
effect on network life time with multiple base stations. While evaluating the communication overhead of
various cluster sizes, we observed that the optimal cluster size for a given network is complex, depending
on a range of parameters. Simulation results show that communication overhead decreases as we increase
the number of zone in the network. We show that placing multiple base stations in place of single base
station in zone based routing protocol enhance the network life time.
Energy Efficient Zone Divided and Energy Balanced Clustering Routing Protocol...csijjournal
Wireless sensor network has proven its significance in almost every field in today’s era. Wireless sensor network consists of large number of sensor nodes distributed randomly in some areas. In WSN the main objective has been increasing the network lifetime. There is zone divisional approach which has shown sound improvement in increasing the network lifetime over the Leach and EEUC protocols. The proposed protocol Energy efficient zone divided and energy balanced clustering routing protocol (EEZECR) has not only much higher network lifetime as compare to ZECR and it also has much better load balancing in the network. In the EEZECR the concept of double cluster head in a cluster is introduced which reduces the load on cluster head and very efficiently does the task of load balancing in the network thoroughly which makes this protocol favorite for many real time applications. Simulations are performed in MATLAB.
Energy Curtailing with Huddling Practices with Fuzzy in Wireless Sensor Networkijsrd.com
Wireless sensor is a mounting field and energy conservation is always being in the peak challenges. Researchers have gone all the way through architectures and topologies that permit energy proficient operation in wireless sensor network. Clustering being stretchy helps to supplely mould the network according to the needs. Cluster head election and cluster formation is previously investigated by numerous researchers. In this paper, a proposed novel scheme the Fuzzy Abiding Cluster Head Formation Protocol (FACFP) that uses Mamdani’s fuzzy inference system in the process during cluster formation. We demonstrate that using multiple parameters in cluster formation can minimize the usage of energy. We will compare our proposed technique with well-known existing protocols to show that using multi parameter FIS enhances network lifetime and conserves energy utilization.
Energy Efficient Stable Election Protocol for Clustered Heterogeneous Wireles...IOSR Journals
This document summarizes an energy efficient stable election protocol (EE-SEP) for clustered heterogeneous wireless sensor networks. EE-SEP modifies the existing SEP protocol to improve energy efficiency, stability period, and network lifetime. It does this by calculating the optimal threshold value for selecting cluster heads based on the initial energy of sensor nodes, rather than the weighted election probability used in SEP. Simulations show EE-SEP performs better than SEP by increasing the number of alive nodes over time, reducing energy consumption, and prolonging network lifetime.
This document summarizes a research paper that proposes two methods called EFFORT and ANYCAST to maximize the lifetime of wireless sensor networks. EFFORT is an opportunistic routing protocol that improves path diversity and transmission reliability. ANYCAST is an asynchronous sleep-wake scheduling mechanism that arranges sensor nodes to sleep to reduce energy consumption. The document describes how EFFORT selects forwarder nodes based on an opportunistic energy cost metric (OECS) that considers several energy costs. It also explains how ANYCAST works by having sensor nodes wake independently during probing periods to relay data, then return to sleep if no response is received. Simulation results showed both EFFORT and ANYCAST effectively extend network lifetime compared to other routing
A Deterministic Heterogeneous Clustering Algorithmiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A gateway based energy efficient multi hop routing protocol for wireless sensor networks (WSNs) is
introduced. The main aim of our paper is to design a protocol which minimizes energy consumption.
Gateway nodes are deployed in sensing field.
The document presents an improved clustering algorithm for load balancing in wireless sensor networks. The algorithm aims to address uneven cluster sizes that can negatively impact load balancing. It does this by selecting master and vice master nodes to partition regions and subregions, aiming to make cluster sizes more balanced. The algorithm has setup and steady state phases. In the setup phase, regions are partitioned recursively if needed to select balanced cluster heads. In the steady state phase, nodes send data to their cluster heads, which then send aggregated data to the base station. Simulation results show the improved algorithm increases network lifetime and energy efficiency compared to LEACH and E-LEACH algorithms.
Energy Performance of LDPC Scheme in Multi-Hop Wireless Sensor Network with T...IJECEIAES
Conservation of the energy is one of the main design issues in wireless sensor networks. The limited battery power of each sensor node is a challenging task in deploying this type of network. The challenge is crucial in reliable wireless network when implementing efficient error correcting scheme with energy consuming routing protocol. In this work, we investigated the energy performance of LDPC code in multi-hop wireless sensor network. We proposed a model of two base stations to prolong the lifetime and build a reliable and energy-efficient network. Through performed MATLAB simulations, we examine the energy effectiveness of multiple base stations model on reliable wireless sensor network performance in different network dimensions.
The document compares two hierarchical routing schemes for wireless sensor networks: EEPSC and EEEPSC. EEPSC divides the network into static clusters and uses temporary cluster heads to distribute energy load. EEEPSC extends EEPSC by also considering distance between nodes and cluster heads when selecting cluster heads, in order to reduce inter-cluster communication costs. Simulation results show that EEEPSC increases network lifetime by consuming less energy and keeping more nodes alive over time compared to EEPSC.
The document describes the Heteroleach protocol, which aims to improve the stable operation of wireless sensor networks. It does this by using heterogeneous nodes, where some nodes called "advanced nodes" have higher initial energy than normal nodes. These advanced nodes have a higher probability of becoming cluster heads. This allows cluster heads to operate for longer without needing to rerun the setup phase, saving the overhead energy required for setup. According to simulations, the Heteroleach protocol was able to double the lifetime of the network compared to LEACH and SEP protocols by reducing the frequency of running the setup phase through the use of heterogeneous nodes.
Selection of Energy Efficient Clustering Algorithm upon Cluster Head Failure ...ijsrd.com
Wireless Sensor Network (WSN) applications have increased in recent times in fields such as environmental sensing, area monitoring, air pollution monitoring, forest res detection, machine health monitoring, and landslide detection. In such applications, there is a high need of secure communication among sensor nodes. There are different techniques to secure network data transmissions, but due to power constraints of WSN, group key based mechanism is the most preferred one. Hence, to implement scalable energy efficient secure group communication, the best approach would be hierarchical based like Clustering. In most of the WSN designs based on clustering, Base Station (BS) is the central point of contact to the outside world and in case of its failure; it may lead to total disconnection in the communication. Critical applications like these cannot afford to have BS failure as it is a gateway from sensor networks to the outside world. In order to provide better fault tolerant immediate action, a new BS at some other physical location will have to take the charge. This may lead to a total change in the hierarchical network topology, which in turn leads to re-clustering the entire network and in turn formation of new security keys. Therefore, there is a need to find a suitable algorithm which clusters sensor nodes in such a way that when a BS fails and a new BS takes the charge, new group key gets established with minimum computation and less energy consumption.
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.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Energy efficient clustering in heterogeneousIJCNCJournal
Cluster head election is a key technique used to reduce energy consumption and enhancing the throughput
of wireless sensor networks. In this paper, a new energy efficient clustering (E2C) protocol for
heterogeneous wireless sensor networks is proposed. Cluster head is elected based on the predicted
residual energy of sensors, optimal probability of a sensor to become a cluster head, and its degree of
connectivity as the parameters. The probability threshold to compete for the role of cluster head is derived.
The probability threshold has been extended for multi-levels energy heterogeneity in the network. The
proposed E2C protocol is simulated in MATLAB. Results obtained in the simulationshowthat performance
of the proposed E2Cprotocol is betterthan stable election protocol (SEP), and distributed energy efficient
clustering (DEEC) protocol in terms of energy consumption, throughput, and network lifetime.
Maximizing Network Lifetime by Using Smart Cluster Head Selectioniosrjce
This document summarizes a research paper that proposes a smart cluster head selection technique to maximize the lifetime of wireless sensor networks. The paper first describes how wireless sensor networks use clustering to improve energy efficiency. It then discusses the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol and its limitations. Specifically, LEACH does not distribute cluster heads uniformly, which can lead to long communication distances. The paper proposes selecting cluster heads only from inner sensor nodes to reduce intra-cluster communication distances. Simulation results show that the smart cluster head selection approach reduces node death rate, energy consumption rate, and increases data received at the base station and overall network lifetime compared to the basic LEACH protocol.
ENERGY CONSUMPTION IMPROVEMENT OF TRADITIONAL CLUSTERING METHOD IN WIRELESS S...IJCNCJournal
In the traditional clustering routing protocol of wireless sensor network, LEACH protocol (Low Energy
Adaptive Clustering Hierarchy) is considered to have many outstanding advantages in the implementation
of the hierarchy according to low energy adaptive cluster to collect and distribute the data to the base
station. The main objective of LEACH is: To prolong life time of the network, reduce the energy
consumption by each node, using the data concentration to reduce bulletins in the network. However, in the
case of large network, the distance from the nodes to the base station is very different. Therefore, the
energy consumption when becoming the host node is very different but LEACH is not based on the
remaining energy to choose the host node, which is based on the number of times to become the host node
in the previous rounds. This makes the nodes far away from the base station lose power sooner.
In this paper, we give a new routing protocol based on the LEACH protocol in order to improve operating
time of sensor network by considering energy issues and distance in selecting the cluster-head (CH), at that
time the nodes with high energy and near the base station (BS) will have a greater probability of becoming
the cluster-head than the those in far and with lower energy.
Design Optimization of Energy and Delay Efficient Wireless Sensor Network wit...IOSR Journals
This document describes a proposed approach to optimize energy efficiency and delay in wireless sensor networks using a combination of particle swarm optimization and cluster-based least spanning tree algorithms. It begins with background on challenges in wireless sensor networks related to limited energy resources. It then presents the system model, including the network and radio power models. The document goes on to describe particle swarm optimization and how it can be applied to set up energy-efficient clusters in each round. The goal is to select cluster heads that minimize a cost function balancing energy usage and delay.
A clustering protocol using multiple chainambitlick
This document proposes two schemes for clustering protocols based on chain routing in wireless sensor networks. It then describes in detail the Chain Routing Based on Coordinates-oriented Clustering Strategy (CRBCC) protocol. CRBCC forms balanced clusters based on node coordinates, constructs intra-cluster chains using simulated annealing, elects chain leaders, and then constructs an inter-cluster chain among leaders also using simulated annealing. Simulation results show CRBCC performs better than PEGASIS in terms of energy efficiency and network delay.
Wireless sensor network are emerging in various fields like environmental monitoring, mining, surveillance
system, medical monitoring. LEACH protocol is one of the predominantly used clustering routing protocols
in wireless sensor networks. In Leach each node has equal chance to become a cluster head which make
the energy dissipated of each node be moderately balanced. We have pioneered an improved algorithm
named as Novel Leach based on Leach protocol. The proposed algorithm shows the significant
improvement in network lifetime .Comparison of proposed algorithm is done with basic leach in terms of
network life time, cluster head selection, energy consumption, and data transmission to base station. The
simulation results shows that proposed algorithm can reduce network energy consumption and prolong
network life commendably. Simulation of our protocol is done with Matlab.
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.
This document proposes a deterministic heterogeneous clustering algorithm to improve the lifetime of heterogeneous wireless sensor networks. It takes into account factors like the current energy of sensor nodes, the percentage of nodes not selected as cluster heads in previous rounds due to their location, and the number of consecutive rounds individual nodes have not been cluster heads. This deterministic approach is meant to improve upon existing probabilistic clustering protocols like LEACH and SEP that do not fully address energy heterogeneity. The proposed algorithm uses an adaptive threshold based on these factors to deterministically select cluster heads, aiming to distribute energy consumption more evenly across nodes and networks and extend network lifetime compared to LEACH and SEP.
A PROPOSAL TO IMPROVE SEP ROUTING PROTOCOL USING INSENSITIVE FUZZY C-MEANS IN...IJCNCJournal
This document proposes improving the SEP routing protocol in wireless sensor networks by combining it with the Insensitive Fuzzy C-Means clustering algorithm. The SEP protocol is an existing heterogeneous routing protocol that increases network stability but has limitations. The proposed SEP-εFCM protocol selects cluster heads using εFCM clustering, which can create more balanced clusters and reduce energy consumption. Simulation results showed the SEP-εFCM protocol performed better than the original SEP protocol, with more remaining live nodes and energy over time.
1) The document proposes a new protocol called Farthest Node SEP to improve energy efficiency in heterogeneous wireless sensor networks.
2) It divides nodes into normal, intermediate, and advanced categories based on their initial energy levels. Cluster heads farther from the base station consumed more energy previously.
3) The proposed protocol selects cluster heads based on remaining energy and uses multi-hop transmissions instead of direct transmission to prolong network lifetime by avoiding overuse of nodes farther from the base station. Simulations are run in MATLAB to evaluate performance.
Energy aware clustering protocol (eacp)IJCNCJournal
The document summarizes an Energy Aware Clustering Protocol (EACP) proposed for heterogeneous wireless sensor networks. EACP introduces heterogeneity by using two types of nodes: normal and advanced. Normal nodes elect cluster heads using a probability scheme based on residual and average energy. Advanced nodes use a separate probability scheme and act as gateways for normal cluster heads, transmitting their data to the base station. The performance of EACP is compared to SEP through simulations, showing better results for stability period, network life and energy savings.
The document proposes a new clustering protocol called Enhanced Threshold Sensitive Stable Election Protocol (ETSEP) for heterogeneous wireless sensor networks. ETSEP aims to improve network lifetime, stability, and throughput compared to other clustering protocols like Stable Election Protocol (SEP), Threshold Sensitive Stable Election protocol (TSEP), and Zonal Stable Election Protocol (ZSEP). In ETSEP, cluster head election probability dynamically changes based on three levels of node energy: normal nodes, intermediate nodes with half the energy of advance nodes, and advance nodes with the most energy. Simulation results show that ETSEP performs better than SEP, TSEP, and ZSEP in terms of stability and network lifetime.
Comparative Performance Analysis of Teen Sep Leach EAMMH and PEGASIS Routing ...IRJET Journal
This document compares the performance of five routing protocols for wireless sensor networks: TEEN, SEP, LEACH, EAMMH, and PEGASIS. It summarizes each protocol and simulations comparing their performance based on metrics like network lifetime and energy efficiency. The simulations show results for average energy consumption of each node over rounds for different protocols, probabilities of nodes becoming cluster heads, and numbers of sensor nodes. EAMMH generally has the best performance in terms of network lifetime and energy efficiency.
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
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.
Energy Performance of LDPC Scheme in Multi-Hop Wireless Sensor Network with T...IJECEIAES
Conservation of the energy is one of the main design issues in wireless sensor networks. The limited battery power of each sensor node is a challenging task in deploying this type of network. The challenge is crucial in reliable wireless network when implementing efficient error correcting scheme with energy consuming routing protocol. In this work, we investigated the energy performance of LDPC code in multi-hop wireless sensor network. We proposed a model of two base stations to prolong the lifetime and build a reliable and energy-efficient network. Through performed MATLAB simulations, we examine the energy effectiveness of multiple base stations model on reliable wireless sensor network performance in different network dimensions.
The document compares two hierarchical routing schemes for wireless sensor networks: EEPSC and EEEPSC. EEPSC divides the network into static clusters and uses temporary cluster heads to distribute energy load. EEEPSC extends EEPSC by also considering distance between nodes and cluster heads when selecting cluster heads, in order to reduce inter-cluster communication costs. Simulation results show that EEEPSC increases network lifetime by consuming less energy and keeping more nodes alive over time compared to EEPSC.
The document describes the Heteroleach protocol, which aims to improve the stable operation of wireless sensor networks. It does this by using heterogeneous nodes, where some nodes called "advanced nodes" have higher initial energy than normal nodes. These advanced nodes have a higher probability of becoming cluster heads. This allows cluster heads to operate for longer without needing to rerun the setup phase, saving the overhead energy required for setup. According to simulations, the Heteroleach protocol was able to double the lifetime of the network compared to LEACH and SEP protocols by reducing the frequency of running the setup phase through the use of heterogeneous nodes.
Selection of Energy Efficient Clustering Algorithm upon Cluster Head Failure ...ijsrd.com
Wireless Sensor Network (WSN) applications have increased in recent times in fields such as environmental sensing, area monitoring, air pollution monitoring, forest res detection, machine health monitoring, and landslide detection. In such applications, there is a high need of secure communication among sensor nodes. There are different techniques to secure network data transmissions, but due to power constraints of WSN, group key based mechanism is the most preferred one. Hence, to implement scalable energy efficient secure group communication, the best approach would be hierarchical based like Clustering. In most of the WSN designs based on clustering, Base Station (BS) is the central point of contact to the outside world and in case of its failure; it may lead to total disconnection in the communication. Critical applications like these cannot afford to have BS failure as it is a gateway from sensor networks to the outside world. In order to provide better fault tolerant immediate action, a new BS at some other physical location will have to take the charge. This may lead to a total change in the hierarchical network topology, which in turn leads to re-clustering the entire network and in turn formation of new security keys. Therefore, there is a need to find a suitable algorithm which clusters sensor nodes in such a way that when a BS fails and a new BS takes the charge, new group key gets established with minimum computation and less energy consumption.
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.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Energy efficient clustering in heterogeneousIJCNCJournal
Cluster head election is a key technique used to reduce energy consumption and enhancing the throughput
of wireless sensor networks. In this paper, a new energy efficient clustering (E2C) protocol for
heterogeneous wireless sensor networks is proposed. Cluster head is elected based on the predicted
residual energy of sensors, optimal probability of a sensor to become a cluster head, and its degree of
connectivity as the parameters. The probability threshold to compete for the role of cluster head is derived.
The probability threshold has been extended for multi-levels energy heterogeneity in the network. The
proposed E2C protocol is simulated in MATLAB. Results obtained in the simulationshowthat performance
of the proposed E2Cprotocol is betterthan stable election protocol (SEP), and distributed energy efficient
clustering (DEEC) protocol in terms of energy consumption, throughput, and network lifetime.
Maximizing Network Lifetime by Using Smart Cluster Head Selectioniosrjce
This document summarizes a research paper that proposes a smart cluster head selection technique to maximize the lifetime of wireless sensor networks. The paper first describes how wireless sensor networks use clustering to improve energy efficiency. It then discusses the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol and its limitations. Specifically, LEACH does not distribute cluster heads uniformly, which can lead to long communication distances. The paper proposes selecting cluster heads only from inner sensor nodes to reduce intra-cluster communication distances. Simulation results show that the smart cluster head selection approach reduces node death rate, energy consumption rate, and increases data received at the base station and overall network lifetime compared to the basic LEACH protocol.
ENERGY CONSUMPTION IMPROVEMENT OF TRADITIONAL CLUSTERING METHOD IN WIRELESS S...IJCNCJournal
In the traditional clustering routing protocol of wireless sensor network, LEACH protocol (Low Energy
Adaptive Clustering Hierarchy) is considered to have many outstanding advantages in the implementation
of the hierarchy according to low energy adaptive cluster to collect and distribute the data to the base
station. The main objective of LEACH is: To prolong life time of the network, reduce the energy
consumption by each node, using the data concentration to reduce bulletins in the network. However, in the
case of large network, the distance from the nodes to the base station is very different. Therefore, the
energy consumption when becoming the host node is very different but LEACH is not based on the
remaining energy to choose the host node, which is based on the number of times to become the host node
in the previous rounds. This makes the nodes far away from the base station lose power sooner.
In this paper, we give a new routing protocol based on the LEACH protocol in order to improve operating
time of sensor network by considering energy issues and distance in selecting the cluster-head (CH), at that
time the nodes with high energy and near the base station (BS) will have a greater probability of becoming
the cluster-head than the those in far and with lower energy.
Design Optimization of Energy and Delay Efficient Wireless Sensor Network wit...IOSR Journals
This document describes a proposed approach to optimize energy efficiency and delay in wireless sensor networks using a combination of particle swarm optimization and cluster-based least spanning tree algorithms. It begins with background on challenges in wireless sensor networks related to limited energy resources. It then presents the system model, including the network and radio power models. The document goes on to describe particle swarm optimization and how it can be applied to set up energy-efficient clusters in each round. The goal is to select cluster heads that minimize a cost function balancing energy usage and delay.
A clustering protocol using multiple chainambitlick
This document proposes two schemes for clustering protocols based on chain routing in wireless sensor networks. It then describes in detail the Chain Routing Based on Coordinates-oriented Clustering Strategy (CRBCC) protocol. CRBCC forms balanced clusters based on node coordinates, constructs intra-cluster chains using simulated annealing, elects chain leaders, and then constructs an inter-cluster chain among leaders also using simulated annealing. Simulation results show CRBCC performs better than PEGASIS in terms of energy efficiency and network delay.
Wireless sensor network are emerging in various fields like environmental monitoring, mining, surveillance
system, medical monitoring. LEACH protocol is one of the predominantly used clustering routing protocols
in wireless sensor networks. In Leach each node has equal chance to become a cluster head which make
the energy dissipated of each node be moderately balanced. We have pioneered an improved algorithm
named as Novel Leach based on Leach protocol. The proposed algorithm shows the significant
improvement in network lifetime .Comparison of proposed algorithm is done with basic leach in terms of
network life time, cluster head selection, energy consumption, and data transmission to base station. The
simulation results shows that proposed algorithm can reduce network energy consumption and prolong
network life commendably. Simulation of our protocol is done with Matlab.
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
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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
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Fuzzy Logic Approach to Improving Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks
1. IJCSNS International Journal of Computer Science and Network Security, VOL.14 No.1, January 2014112
Manuscript received January 5, 2014
Manuscript revised January 20, 2014
Fuzzy LogicApproach to Improving Stable Election Protocol for
Clustered Heterogeneous Wireless Sensor Networks
Baghouri Mostafa†
, Chakkor Saad††
and Hajraoui Abderrahmane†††
,
University of Abdelmalek Essaâdi, Faculty of Sciences, Tetouan, Morocco
Summary
The wireless sensor network is composed of a set of nodes which
energy is limited in terms of computing, storage and
communication power. In this network, a few nodes become
cluster head which causes the energetic heterogeneity of the
network, therefore the behavior of the sensor network becomes
very unstable as soon as the life of the first node is elapsed. SEP
has proposed the extension of time to network stability before the
death of the first node and the reduction of unstable time before
the death of the last node. This protocol is based on the election
of cluster head by the balance of the probabilities of the
remaining energy for each node. In this paper, we propose to
improve SEP by fuzzy logic (SEP-FL). We show by simulation
in MATLAB that the proposed method increases the stability
period and decreases the instability of the sensor network
compared with LEACH, LEACH-FL and SEP taking into
account the energy level and the distance to the base station. We
conclude by studying the parameters of heterogeneity as the
protocol proposed (SEP-FL) provides a longer interval of
stability for large values of additional energy brought by the
more powerful nodes (advanced).
Key words:
WSN, Fuzzy Logic, SEP, Energy lifetime, heterogeneous clusters.
1. Introduction
Wireless sensors network consists of small nodes limited in
terms of processing, data storage and communication
powers. These nodes are deployed in a large area to
sensing and sending their measurements data to the base
station for the purpose of operating [1]. The design of
management and communication protocols in the
applications for these networks must consider the optimal
energy consumption to extend the lifetime of the network
because the replacement of batteries incorporated in the
nodes is a very difficult operation once these devices are in
place. The important part of energy is consumed in the
communication circuit which must be minimized. Many
approaches have been developed to reduce energy
consumption and to guarantee well balanced distribution of
the energy load among nodes of the network. Most
solution proposed is the LEACH protocol using cluster
heads dynamically elected based on an optimal probability
model [2]. One of the drawbacks of this solution is that the
nodes of sensor network are equipped with the same
amount of energy (homogeneous sensor networks). In this
work, we assume that a percentage of the node population
is equipped with more energy than the rest of the nodes in
the same network (heterogeneous sensor networks). There
are many applications that require the energetic
heterogeneity of network nodes, since the lifetime of the
network is limited. Furthermore, there is a need to add
more nodes which will be equipped with more energy than
the nodes that are already in use. We suppose that the
coordinates of the sink and the dimensions of the field are
known. We also assume that the nodes are uniformly
distributed over the field and they are not mobile. Under
this model, we propose a new protocol SEP-FL improves
SEP protocol using Fuzzy Logic. In SEP, the election
probabilities of cluster head are weighted by the initial
energy of a node relative to that of other nodes in the
network. We show by simulation that SEP-FL provides a
longer stability period and a lower instability period and
increases life time of nodes. We study the effect of our
SEP-FL protocol to heterogeneity parameters capturing
energy imbalance in the network. We show that SEP-FL is
more resilient than SEP in judiciously consuming the extra
energy of advanced (more powerful) nodes. SEP-FL yields
longer stability period for higher values of extra energy.
2. Related work
The energy model for the wireless sensor network with
heterogeneous nodes and his setting is described as
follows: Assuming the case where a percentage of the
population of sensor nodes is equipped with more energy
resources than the rest of the nodes. Taking m as the
fraction of the total number of nodes n, which are equipped
with α times more energy than the others. These powerful
nodes are named advanced nodes, and the rest (1-m) x n is
named normal nodes. We assume that all nodes are
distributed uniformly over the sensor field. We consider
architecture of a sensor network that is hierarchically clus-
tered. Moreover, cluster heads are elected in each round
and as a result the load is well distributed and balanced
among the nodes of the network. The cluster head has to
report to the sink and may expend a large quantity of
energy, but this happens periodically for each node [2].
The energy model that we use in this study is illustrated in
Figure 1:
2. IJCSNS International Journal of Computer Science and Network Security, VOL.14 No.1, January 2014 113
Fig. 1 Radio energy consumption model
In order to achieve an acceptable Signal-to-Noise Ratio
(SNR) in transmitting L bits messages over a distance d,
the energy expended by the radio is given by equation (1):
(1)
Where Eelec is the energy dissipated per bit to run the
transmitter or the receiver circuit [2].
The optimal construction of clusters is very important
because it is equivalent to the setting of the optimal
probability for a node to become a cluster head. To
evaluate the performance of clustering protocols, we define
some metrics:
A. Stability Period: is the time interval from the start of
network operation until the death of the first sensor
node. We also refer to this period as “stable region.”
B. Instability Period: is the time interval from the death
of the first node until the death of the last sensor node.
We also refer to this period as “unstable region.”
The protocol SEP improves the stable region of the
clustering hierarchy process using the characteristic
parameters of heterogeneity, namely the fraction of
advanced nodes (m) and the additional energy factor
between advanced and normal nodes (α).
To increase the stable region, SEP attempts to maintain the
constraint of well balanced energy consumption. Advanced
nodes have to become cluster heads more often than the
normal nodes. The new heterogeneous setting (with
advanced and normal nodes) has no effect on the spatial
density of the network [2].
On the other hand, the total energy of the system changes.
Suppose that E0 is the initial energy of each normal sensor.
The energy of each advanced node is then E0 .(1+ α). The
total (initial) energy of the new heterogeneous setting is
equal to:
So, the total energy of the system is increased by a factor
of 1+ α.m
3. Proposed approach
This section describe the new method that we propose to
improve the stable and unstable region of SEP by
calculating the chance of each node to become cluster-head,
unlike to SEP protocol that takes this parameter to elect
CH as a random value, which causes the disadvantage of
poor balancing energy in the network. To solve this
problem, our approach (The SEP-FL Fuzzy logic approach
to improve Stable Election Protocol for clustered
heterogeneous WSN) is based on two deterministic
criteria: the distance from the base station and the residual
energy level of each node type. Our fuzzy system is
divided in two Fuzzy Inference Systems (FIS), one for the
advanced nodes and the other for the normal nodes. Each
system consists of four steps denoted: fuzzifier, inference
machine, rule base and defuzzifier, Figure 2 and 3 [5],
show the different architectures of this system:
EnergyNrm (3)
DistToBS (3)
Chance (9)
SEP-FL-Nrm
(mamdani)
9 rules
Fig. 2 SEP-FL architecture for normal node
EnergyAdv (3)
DistToBS (3)
Chance (9)
SEP-FL-Adv
(mamdani)
9 rules
Fig. 3 SEP-FL architecture for advanced node
4. Our FIS Parameters and Rules
In our proposed model, we use two parameters: energy
level and distance to the base station of each non-CHs
node. To study how much they are effecting the lifetime of
the network, and to make these parameters more flexible,
we divided each linguistic variable that we used to
represent these parameters into three levels: low, medium,
( ) ( ) ( )0 0 0. 1 . . . . 1 . . 1 .n m E n m E n E mα α− + + = + (2)
3. IJCSNS International Journal of Computer Science and Network Security, VOL.14 No.1, January 2014114
and high for energy level and Close, medium, and far for
the distance to the BS.
Moreover, many types of membership functions are
available in the MATLAB Fuzzy Logic toolbox [5].
However, we used the Triangle and Trapezoidal
membership functions because their degree is more easily
determined [6]. Therefore, we chose to use them to
present our parameters as illustrated in Figures 4, 5, and 6.
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
0
0.2
0.4
0.6
0.8
1
EnergyNrm
Degreeofmembership
Low Medium High
Fig. 4 Fuzzy set of Energy level
0 10 20 30 40 50 60 70
0
0.2
0.4
0.6
0.8
1
DistToBS
Degreeofmembership
Close Medium Far
Fig. 5 Fuzzy set of distance to BS
0 10 20 30 40 50 60 70 80 90 100
0
0.2
0.4
0.6
0.8
1
Chance
Degreeofmembership
V-w weak L-weak L-m Medium H-m L-S Strong V-S
Fig. 6 Fuzzy set of chance value
To determine the maximum values for our parameters in
our FIS model, we have used equations (3), and (4):
max energy initialenergy= (3)
( ) ( )
22
max tan x ydis ceToBS BS BS= + (4)
Where, ( ),x yBS BS is the position of the Base Station on x
and y axis respectively.
Since we have two parameters, each divided into three
levels, we have 32
=9 possible chance values shows in
Table 1 below that represents our fuzzy IF-THEN rules.
Table 1 : Fuzzy Inference System IF-THEN rules
Energy level Distance to the BS Chance to become CH
Low Far Very weak
Low Medium Weak
Low Close Litter weak
Medium Far Litter medium
Medium Medium Medium
Medium Close High medium
High Far Litter strong
High Medium Strong
High Close Very strong
5. Determination of Cluster-Head Chance
Value
To obtain the Chance value, we aggregate the results of
each rule. This process is called defuzzification. One of the
most popular defuzzification methods is the centroid,
which returns the centre of the area under the fuzzy set
obtained aggregating conclusions. We use formula (5) to
get the value of Chance for i node in r round:
( )
( )
( )
1
1
,
n
j j
j
n
j
j
u x x
Chance i r
u x
=
=
=
∑
∑
(5)
Where u(xj) , is a membership function degree of set j, and
xj is the output chance value on x-axis that intersect with
u(xj).
6. Our algorithm protocol
In every round, sensor node (advanced and normal)
calculates the chance to become the cluster head using IF-
THEN rules which are described in precedent section.
After, it selects the maximum of these chances. If the
maximum is less than the threshold T(s) (for advanced and
for normal nodes) then the node becomes a cluster head
and advertises this fact to other nodes around the cluster.
The nodes that receive this message calculate the distance
between the cluster head and itself and send a join–
4. IJCSNS International Journal of Computer Science and Network Security, VOL.14 No.1, January 2014 115
message to the closest one of the cluster head to form a
cluster. Equations (6) and (7) define the T(s) of different
type of nodes, where Padv, Pnrm, are the probabilities to
become cluster head for advanced and normal nodes
respectively and r is current round. The G’ and G’’ are the
sets of advanced and normal nodes that not elected as
cluster heads in last 1/Padv and 1/Pnrm rounds per epoch
respectively [2].
( )
'
1
1 mod
0
adv
adv
advadv
adv
P
if S G
P rT S
P
otherwise
∈ −=
(6)
( )
''
1
1 mod
0
nrm
nrm
nrmnrm
nrm
P
if S G
P rT S
P
otherwise
∈ −=
(7)
7. Simulation and evaluation
In this section, we evaluate the performance of our
approach in MATLAB [5] in two different scenarios: α=1
and α=3 with 100 nodes are randomly distributed in a
100×100 m2
network. The initial energy of the sensors is
E0=0.5 J. The simulation was performed for 10000 rounds.
We use a simplified model showed in figure 1 for the radio
hardware energy dissipation. We compare our approach to
LEACH [3], LEACH-FL [4] and SEP [2] in Lifetime and
Network’s conception energy.
A. Network’s lifetime
Although various definitions have been proposed in the
literature, in this paper lifetime is considered as the time
when the first node dies. Figure 7 and 9 illustrates the
number of alive nodes with respect to the operation of the
network in 10000 rounds for different scenarios. It is easy
to find out that the proposed approach prolongs the
lifetime of the stability period for normal and advanced
sensors compared with other algorithms. Our proposed
algorithm improves the overall network lifetime about
67.36% and 54 % compared to SEP algorithm results for
α=1 and α=3 respectively.
B. Consumption energy in the network
Consumption energy in the network in each round can be a
good metric to measure the energy efficiency of the
algorithm.
Figure 9 and 10 show the comparison of energy
consumption rate of the four algorithms. In the proposed
approach the consumption energy of network is less than
others. This can be interpreted by the fact that our
approach offers a considerable lifetime compared to other
algorithms.
On the other hand, we note that when the value of α
increases, the lifetime of the network increases also. We
can say that the doping network energy leads to an increase
in its operating time.
0 500 1000 1500 2000 2500 3000 3500 4000
0
10
20
30
40
50
60
70
80
90
100
Rounds
AliveSensors
LEACH
LEACH-FL
SEP
SEP-FL
Fig. 7 Network Lifetime (scenarios 1 with α=3)
0 500 1000 1500 2000 2500 3000 3500 4000
0
10
20
30
40
50
60
70
80
90
Rounds
ConsumptionEnergyintheNetworkAlive
LEACH-FL
SEP
SEP-FL
LEACH
Fig. 8 Consumption energy of network (scenarios 1 with α=3)
0 500 1000 1500 2000 2500 3000 3500 4000
0
10
20
30
40
50
60
70
80
90
100
Rounds
Alivesensors
LEACH
LEACH-FL
SEP
SEP-FL
Fig. 9 Network Lifetime (scenarios 2 with α=1)
5. IJCSNS International Journal of Computer Science and Network Security, VOL.14 No.1, January 2014116
Fig. 10 Consumption energy of network (scenarios 2 with α=1)
8. Conclusion
Optimizing the energy consumption of heterogeneous
wireless sensor network can be realized by using the fuzzy
logic. Indeed, our approach shows, by simulation, the
improvement of the stability period of the network before
the death of the first node since it has two intervals of
stability on the first normal nodes, the second related to
advanced nodes that increases the lifetime and reduces the
consumption of the energy stored in each node.
SEP-FL is more energy efficient in prolonging
the network life time using two parameters
election fuzzy logic of heterogeneity in networks to
evaluate the chance of sensors to become cluster head.
As perspective of this work, we propose to simulate the
protocol SEP-FL with a robust software simulation
wireless sensor network and the realization of a prototype
of a node joining our protocol.
References
[1] F. Akyildiz, W. Su, Y. Sankarasubramaniam and al., “A
survey on sensor networks,” IEEE Communications
Magazine, vol. 40, no. 8, pp. 102-114, 2002.
[2] G. SMARAGDAKIS, I. MATTA , A. BESTAVROS and
al., “ SEP: A Stable Election Protocol for clustered
heterogeneous wireless sensor networks ” , Computer
Science Department, Boston University.
[3] W. Heinzelman, A. Chandrakasan and H. Balakrishnan,
“Energy-Efficient Communication Protocol for Wireless
Microsensor Networks,” In Proceedings of the 33rd
Hawaii
International Conference on System Sciences (HICSS '00),
January 2000.
[4] G. Ran and al., “Improving on LEACH Protocol of Wireless
Sensor Networks Using Fuzzy Logic”, Journal of
Information & Computational Science 7: 3 767–775 (2010)
[5] http://www.mathworks.com/ Fuzzy Logic Toolbox user’s
guide 2012
[6] N. A. Torghabeh and al., “Cluster Head Selection using a
Two-Level Fuzzy Logic in Wireless Sensor Networks”, 2nd
International Conference on Computer Engineering and
Technology IEEE Vol. 2 August 07 (2010)
Baghouri Mostafa is an PhD student in the
Laboratory of Systems Modeling and
Analysis, Team: Communication Systems,
Faculty of sciences, University of
Abdelmalek Essaâdi, Tetouan Morocco, his
research area is: Optimization of energy in
the wireless sensors networks. He obtained a
Master's degree in Electrical and Computer
Engineering from the Faculty of Science and Technology of
Tangier in Morocco in 2002. He graduated enabling teaching
computer science for secondary qualifying school in 2004. In
2006, he graduated from DESA in Automatics and information
processing at the same faculty. He work teacher of computer
science in the high school.
Chakkor Saad is an PhD student in the
Laboratory of Systems Modeling and
Analysis, Team: Communication Systems,
Faculty of sciences, University of
Abdelmalek Essaâdi, Tetouan Morocco, his
research area is: intelligent sensors and its
applications. He obtained a Master's degree
in Electrical and Computer Engineering from
the Faculty of Science and Technology of Tangier in Morocco in
2002. He graduated enabling teaching computer science for
secondary qualifying school in 2003. In 2006, he graduated from
DESA in Automatics and information processing at the same
faculty. He work teacher of computer science in the high school.