A Wireless Sensor Network Topology Design Method Based on an Evolutionary Algorithm Featured with Population Crossover Strategy
Computing, Measurement, Control and Sensor Network（2012）
摘要
Network lifetime and coverage are viewed as the dominating considerations in designing the structure layout for Wireless Sensor Networks (WSN). In a WSN, the sensor nodes and its central node are located far apart to ensure good coverage over the concerning area. However, communication over long distance between the nodes consumes excessive energy from the battery powered sensors and reduces the lifetime of a WSN. In this paper, we propose an efficient crossover EA-based method to solve the optimization problem mentioned afore. Experiment result shows that the crossover EA-based algorithm can find a better solution than the traditional EA algorithm. This approach is also applicable to various other complex optimization problems.
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关键词
population crossover strategy,network lifetime,sensor nodes,evolutionary algorithm,efficient crossover ea-based method,evolutionary computation,ea-based method,telecommunication network reliability,battery powered sensors,nodes consumes,design method,complex optimization problem,telecommunication network topology,optimization problem,crossover ea-based algorithm,wireless sensor network topology design method,central node,better solution,good coverage,wsn lifetime,wireless sensor network,wireless sensor networks,wireless sensor network lifetime,traditional ea algorithm,wireless sensor network topology,multi-objective optimization,complex optimization problems,optimization,wireless communication,mathematical model,multi objective optimization,layout
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