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基于模拟退火遗传算法的传感器节点优化部署 被引量：3

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摘要 将模拟退火遗传算法应用于无线传感器网络的节点部署研究,构建节点的优化部署数学模型,将节点部署问题转化为优化问题,利用模拟退火遗传算法求解优化模型,最优解作为节点的最终配置位置,使节点在不断修复覆盖空洞的情况下最大可能的完全覆盖监测区域。通过仿真结果表明,该算法能够有效地提高无线传感器网络的覆盖率。 This paper uses simulated annealing genetic algorithm for node deployment in wireless sensor networks research.Con-struction of mathematical model of optimized deployment node,node deployment into an optimization problem.Based on sim-ulated annealing genetic algorithm for optimization model,optimal solution as the final configuration of the node position,node continues to repair covered empty cases may completely cover the largest area.
作者 靳昕 于军琪 董振平
机构地区 西安建筑科技大学信息与控制工程学院
出处 《工业控制计算机》 2015年第5期82-83,共2页 Industrial Control Computer
关键词 模拟退火遗传算法 节点部署 覆盖率 simulated annealing genetic algorithm node deployment coverage
分类号 TP212.9 [自动化与计算机技术—检测技术与自动化装置] TN929.5 [电子电信—通信与信息系统] TP18 [自动化与计算机技术—控制理论与控制工程]
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共引文献110

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工业控制计算机
2015年 第5期

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