Journal ArticleDOI
A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks
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An energy efficient cluster head selection algorithm which is based on particle swarm optimization (PSO) called PSO-ECHS is proposed with an efficient scheme of particle encoding and fitness function and the results are compared with some existing algorithms to demonstrate the superiority of the proposed algorithm.Abstract:Â
Clustering has been proven to be one of the most efficient techniques for saving energy of wireless sensor networks (WSNs). However, in a hierarchical cluster based WSN, cluster heads (CHs) consume more energy due to extra overload for receiving and aggregating the data from their member sensor nodes and transmitting the aggregated data to the base station. Therefore, the proper selection of CHs plays vital role to conserve the energy of sensor nodes for prolonging the lifetime of WSNs. In this paper, we propose an energy efficient cluster head selection algorithm which is based on particle swarm optimization (PSO) called PSO-ECHS. The algorithm is developed with an efficient scheme of particle encoding and fitness function. For the energy efficiency of the proposed PSO approach, we consider various parameters such as intra-cluster distance, sink distance and residual energy of sensor nodes. We also present cluster formation in which non-cluster head sensor nodes join their CHs based on derived weight function. The algorithm is tested extensively on various scenarios of WSNs, varying number of sensor nodes and the CHs. The results are compared with some existing algorithms to demonstrate the superiority of the proposed algorithm.read more
Citations
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Journal ArticleDOI
Research of Multidimensional Optimization of LEACH Protocol Based on Reducing Network Energy Consumption
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Optimal path selection algorithm for mobile beacons in sensor network under non-dense distribution
TL;DR: The proposed path selection algorithm for mobile beacons in a sensor network under non-dense distribution is proposed and can enhance the clustering performance of the optimal node in the wireless sensor network and has a better performance of dynamic node selection in Wireless sensor network.
Proceedings ArticleDOI
Energy-Efficient Routing for Greenhouse Monitoring Using Heterogeneous Sensor Networks
Trupti Mayee Behera,Mohammad S. Khan,Sushanta Kumar Mohapatra,Umesh Chandra Samail,Zakirul Alam Bhuiyan +4 more
TL;DR: An energy efficient routing process is discussed that considers three different sensor node categories namely normal, intermediate and advanced nodes, and the basic cluster head (CH) selection threshold value is modified considering important parameters like initial and residual energy with an optimum number of CHs in the network.
Journal ArticleDOI
Probabilistic neural network based efficient bandwidth allocation in wireless sensor networks
TL;DR: Experimental results show that the proposed Particle Swarm Optimization algorithm is better than the conventional methods for the formation of successful clustering in wireless sensor network and in choosing the cluster head.
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Irrelevant data elimination based on a k-means clustering algorithm for efficient data aggregation and human activity classification in smart home sensor networks:
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References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI
A survey on sensor networks
TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
Proceedings ArticleDOI
Energy-efficient communication protocol for wireless microsensor networks
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Journal ArticleDOI
An application-specific protocol architecture for wireless microsensor networks
TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
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