Journal ArticleDOI
A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks
Reads0
Chats0
TLDR
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:
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
More filters
Journal ArticleDOI
Energy centroid clustering algorithm to enhance the network lifetime of wireless sensor networks
TL;DR: An energy efficient clustering algorithm based energy centroid and energy threshold has been proposed for wireless sensor networks and shows an average increase of 53% in energy conservation and network lifetime compared to Leach-B, Park Approach, EECPK-means Approach and MPST Approach.
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
EODC: An Energy Optimized Dynamic Clustering Protocol for Wireless Sensor Network using PSO approach
TL;DR: The proposed system is using an energy efficient hierarchical routing protocol named Energy Optimized Dynamic Clustering (EODC) for clustering large ad-hoc WSN and route the data towards the sink.
Proceedings ArticleDOI
An Improved Clustering with Particle Swarm Optimization-Based Mobile Sink for Wireless Sensor Networks
TL;DR: A novel dynamic clustering approach with Particle Swarm Optimization based mobile data collector for information gathering is proposed and the obtained simulation results show that the proposed approach increases the network lifetime extensively.
References
More filters
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.
Related Papers (5)
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
O. Younis,Sonia Fahmy +1 more