Sink Node Location Optimization for WSNs
Based on Improved Three Chain Hybrid Genetic Algorithm

Computer & Telecommunication

2016, Vol. 1

Issue (8): 13-15 DOI:

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Sink Node Location Optimization for WSNs Based on Improved Three Chain Hybrid Genetic Algorithm

Liu Yan

Jiaying University

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Abstract In the design and layout of Wireless Sensor Networks (WSNs), multiple Sink node locating is the key step in network topology. It is very important to control energy-consumption of network communication. By analyzing the layout of Sink node model, an improved three chain hybrid genetic algorithm is proposed to solve the Sink node’s optimal location problem. The experimental results show that compared with the enumeration algorithm, the three chain hybrid genetic algorithm for the Sink node has better solutions and higher efficiency of the algorithm, which can reduce the energy consumption of wireless sensor networks and improve the network performance.

Key words： wireless sensor networks (WSNs) Sink node locating three chain hybrid genetic algorithm

Published: 13 November 2017

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Liu Yan. Sink Node Location Optimization for WSNs Based on Improved Three Chain Hybrid Genetic Algorithm. Computer & Telecommunication, 2016, 1(8): 13-15.

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http://www.computertelecom.com.cn/EN/ OR http://www.computertelecom.com.cn/EN/Y2016/V1/I8/13

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