Journal ArticleDOI
Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networks
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TLDR
The proposed hybrid HSA–PSO algorithm shows an improvement in residual energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm and exhibits high search efficiency of HSA and dynamic capability of PSO that improves the lifetime of sensor nodes.Abstract:
Energy efficiency is a major concern in wireless sensor networks as the sensor nodes are battery-operated devices. For energy efficient data transmission, clustering based techniques are implemented through data aggregation so as to balance the energy consumption among the sensor nodes of the network. The existing clustering techniques make use of distinct Low-Energy Adaptive Clustering Hierarchy (LEACH), Harmony Search Algorithm (HSA) and Particle Swarm Optimization (PSO) algorithms. However, individually, these algorithms have exploration-exploitation tradeoff (PSO) and local search (HSA) constraint. In order to obtain a global search with faster convergence, a hybrid of HSA and PSO algorithm is proposed for energy efficient cluster head selection. The proposed algorithm exhibits high search efficiency of HSA and dynamic capability of PSO that improves the lifetime of sensor nodes. The performance of the hybrid algorithm is evaluated using the number of alive nodes, number of dead nodes, throughput and residual energy. The proposed hybrid HSA–PSO algorithm shows an improvement in residual energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm.read more
Citations
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Journal ArticleDOI
Hybrid Artificial Bee Colony and Monarchy Butterfly Optimization Algorithm (HABC-MBOA)-based cluster head selection for WSNs
TL;DR: In this paper , a hybrid Artificial Bee Colony and Monarchy Butterfly Optimization Algorithm (HABC-MBOA)-based Cluster Head Selection Scheme is proposed for the predominant selection of cluster heads under clustering process.
Journal ArticleDOI
TEO-MCRP: Thermal exchange optimization-based clustering routing protocol with a mobile sink for wireless sensor networks
Sercan Yalçin,Ebubekir Erdem +1 more
TL;DR: In this paper , a new mobile clustering routing protocol based on Thermal Exchange Optimization (TEO) inspired by Newton's cooling law, called TEO-MCRP, is presented for heterogeneous WSNs.
Journal ArticleDOI
Energy efficient cluster head selection using improved Sparrow Search Algorithm in Wireless Sensor Networks
TL;DR: In this article , a hybrid Sparrow Search Algorithm with Differential Evolution algorithm is proposed to solve the energy efficiency issue by cluster head selection in WSNs, which uses the high-level search efficiency of the Sparrow search algorithm and the lively potential of Differential evolution that enhances the lifetime of nodes.
Journal ArticleDOI
A discrete-time switched linear model of the particle swarm optimization algorithm
TL;DR: A discrete-time switched linear model is introduced to study the stability and convergence of the PSO algorithm without the stagnation assumption and the conditions of the convergence in mean and convergence in probability are derived using the recently developed results in paracontraction.
Journal ArticleDOI
Energy optimized hybrid PSO and wolf search based LEACH
TL;DR: In this paper, the authors applied particle swarm optimization (PSO) and Wolf search optimization methods to improve the performance of Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm.
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
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
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.