Metaheuristic multi-hop clustering optimization for energy-efficient wireless sensor network

Vincent Chung and Norah Tuah and Kit Guan Lim and Min Keng Tan and Ismail Saad and Kenneth Tze Kin Teo (2020) Metaheuristic multi-hop clustering optimization for energy-efficient wireless sensor network. IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology.

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Abstract

Energy-efficient optimization algorithm in wireless sensor network (WSN) is often based on solely cluster routing or multi-hop routing. The cluster optimization algorithm will form a cluster network by dividing the sensor nodes into few clusters where each cluster has a cluster head (CH) for data collection. On the other hand, multi-hop optimization algorithm will form a multi-hop network by transmitting data to base station (BS) through data multi-hopping between sensor nodes. However, cluster optimization algorithm suffers from the overburdens of CH nodes, while multi-hop optimization algorithm suffers from the overburdens of nodes which are near to the BS. Therefore, Genetic Algorithm-Cuckoo Search (GACS) is proposed and developed based on the multi-hop clustering model in this paper. GACS optimizes both intra-cluster and inter-cluster communications to enhance energy efficiency in WSN, extending the network lifetime. Based on the performance evaluation, GACS outperforms both Genetic Algorithm (GA)-based cluster optimization algorithm and Cuckoo Search (CS)-based multi-hop optimization algorithm.

Item Type:	Article
Keyword:	genetic algorithm, cuckoo search, multi-hop clustering, wireless sensor network, metaheuristic mechanism
Subjects:	T Technology > T Technology (General)
Department:	FACULTY > Faculty of Engineering
Depositing User:	DG MASNIAH AHMAD -
Date Deposited:	20 Apr 2021 07:45
Last Modified:	20 Apr 2021 07:45
URI:	https://eprints.ums.edu.my/id/eprint/26784

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