计算技术与自动化Issue(3)：35-38,4.
基于参数可变遗传算法的炮兵通信网络覆盖控制优化
Optimal Coverage Strategy Based on Alterable Parameter Genetic Algorithm in Artillery Commutation Networks
摘要
Abstract
An optimal coverage strategy based on adaptive genetic algorithm in wireless sensor networks is proposed for solving the problem of selecting the optimal coverage set of nodes for artillery commutation networks with high density nodes.The mechanism of density detection is designed to optimize the initial population.The adaptive crossover probability and adaptive mutation probability are proposed,which consider the influence of every generation to algorithm and the effect individual fitness in every generation.Simulation and analysis results show that the optimal coverage set of nodes with less nodes and high coverage percentage is achieved by the proposed algorithm.Under the condition,sleeping chance is ensured adequately,which decreases the energy expenditure effectively and prolongs the lifetime of the network.关键词
炮兵通信网络/覆盖/工作节点集/参数可变遗传算法Key words
artillery commutation networks/coverage/coverage set of nodes/alterable parameter genetic algorithm分类
信息技术与安全科学引用本文复制引用
夏化冰,潘伟..基于参数可变遗传算法的炮兵通信网络覆盖控制优化[J].计算技术与自动化,2014,(3):35-38,4.基金项目
国家自然科学基金资助项目(60974091) （60974091）
