An Improved Parallel Genetic Algorithm for Optimal Sensor Placement of Wireless Sensor Networks
Publish place: International Journal of Information and Communication Technology Research (IJICT، Vol: 6، Issue: 3
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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JR_ITRC-6-3_002
تاریخ نمایه سازی: 22 فروردین 1401
Abstract:
The wireless sensor network has recently become an intensive research focus due to its potential applications many years. Sensor placement is one of the most important issues in wireless sensor networks. An efficient placement scheme can enhance the quality of monitoring in wireless sensor networks by increasing the coverage rate of interested area. This paper presents an efficient method based on parallel genetic algorithms to solve a sensor placement optimization problem. We modify the general master-slave parallel genetic algorithm to improve the convergence rate of this optimization method. The results indicate the effectiveness of the proposed method in comparison with genetic algorithm, general parallel genetic algorithm, and some well-known evolutionary algorithms.