Cluster Head Selection Based on Genetic Algorithm Using AHYMN Approaches in WSN

maheswari, A.S. Uma; Pushpalatha, S.

doi:10.14445/22492593/ijcot-v5p313

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2017

2022

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“…Hence, they have attracted attention and garnered widespread appeal towards applications in diverse areas including disaster warning systems, environment monitoring, health care, safety and strategic areas such as defense reconnaissance, surveillance, and intruder detection. In case of nuclear power plant if any small delay occurs for data forwarding due to any node failure may results in severe disaster [2]. Hence effective Topology Control is required to obtain an energy efficient sensor network even if any node fails.…”

Section: Introductionmentioning

confidence: 99%

Cluster Head Optimization based on Gravitational Search Algorithm

Singh¹,

Gupta²

2017

IJCA

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Wireless Sensor Networks (WSN) consist of nodes with limited power deployed in the area of interest. Nodes cooperate to collect, transmit and forward data to a base station. The major challenges of WSN are restricted energy supply, informatics addressing method is not possible and has lesser information measure and memory capability. In present work attempt has been made to reduce overall energy consumption of the network also reducing the bandwidth and memory requirements by using an optimization algorithm i.e. Gravitational Search Algorithm (GSA). Results will be compared with another optimization algorithm i.e. Genetic Algorithm.

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Section: Introductionmentioning

confidence: 99%