Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCW.2010.5503895
Title: A robust harmony search algorithm based clustering protocol for wireless sensor networks
Authors: Hoang, D.C.
Yadav, P. 
Kumar, R. 
Panda, S.K. 
Keywords: Clustering
Fuzzy C-means
Genetic algorithm(GA)
Harmony search (HS)
Hierarchical routing
Meta-heuristic
Particle swarm optimization (PSO)
Wireless sensor networks
Issue Date: 2010
Source: Hoang, D.C.,Yadav, P.,Kumar, R.,Panda, S.K. (2010). A robust harmony search algorithm based clustering protocol for wireless sensor networks. 2010 IEEE International Conference on Communications Workshops, ICC 2010 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCW.2010.5503895
Abstract: Optimizing energy consumption is the main concern for designing and planning the operation of the Wireless Sensor Networks (WSNs). Clustering technique is one of the methods utilized to extend lifetime of the network by applying data aggregation and balancing energy consumption among sensor nodes of the network. In this paper, we propose the recently developed, Harmony Search Algorithm (HSA) for minimizing the intra-cluster distance and optimizing the energy consumption of the network. HSA is music based metaheuristic optimization method which is analogous with the music improvisation process where musician continue to polish the pitches in order to obtain better harmony. A comparison is made with the well known cluster-based protocol approach developed for WSNs known as Low-Energy Adaptive Clustering Hierarchy (LEACH), heuristic optimization algorithms like Particle Swarm Optimization (PSO) and Genetic Algorithm(GA) as well as the traditional K-means and Fuzzy C-Means (FCM) clustering algorithms. Simulation results demonstrate that the proposed protocol using HSA can reduce energy consumption and improve the network lifetime. ©2010 IEEE.
Source Title: 2010 IEEE International Conference on Communications Workshops, ICC 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/69046
ISBN: 9781424468263
DOI: 10.1109/ICCW.2010.5503895
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