An Energy Efficient Neighbour Node Discovery Method for Wireless Sensor Networks

Karthikeyan, V.; Vinod, A. P.; Jeyakumar, P.

doi:10.48550/arxiv.1402.3655

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…20 In order to balance the energy requirements of WSN, various schemes are proposed. Karthikeyan et al 21 proposed a clustering technique to achieve energy efficient routing where a single CH is chosen from the cluster. The CH gets information from all other nodes in the cluster, aggregates it, and sends it to the BS.…”

Section: Related Workmentioning

confidence: 99%

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An enhanced Gray Wolf Optimization for cluster head selection in wireless sensor networks

Muniraj¹,

Jeyaswamidoss²

2022

Int J Communication

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Summary The energy efficiency sustenance in wireless sensor networks completely depends on the process of clustering to prolong network lifetime. The success of this clustering process completely depends on the cluster head (CH) selection process as potential CH selection prevents frequent clustering and aids in maintaining maximized energy in the network. In this paper, an improved Game Theory‐Gray Wolf Optimization algorithm (GAGWO)‐based efficient CH selection strategy is improved for maintaining the energy in the network through the construction of equal size clusters. This GWOA mimicked the hunting and attacking characteristics of gray wolves and facilitated better CH selection, which completely prevented worst sensor nodes from being selected as CH. It is proposed for establishing a better trade‐off between the local and global search for the objective of preventing re‐clustering that unnecessarily drains network energy. The simulation results of the proposed GAGWO confirmed better performance in terms of network lifetime, energy stability, mean throughput, and packet delivery ratio, on an average by 23.18%, 21.86%, 19.84%, and 20.98%, compared to the baseline CH approaches used for investigation.

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Section: Related Workmentioning

confidence: 99%

“…Here, again, the CH selection plays a vital role. Karthikeyan et al 21 proposed a QoS-based CH selection technique to minimize the energy consumption and load of the entire network. For a distributed multihop environment, the author had chosen the CH from the cluster by their proposed Deterministic Stable Election Protocol (D-SEP).…”

Section: Related Workmentioning

confidence: 99%