文章摘要
引用本文:邹长忠.基于多目标遗传算法的无线传感器网络重新部署方法[J].福州大学学报(自然科学版),2015,43(3):317~321
基于多目标遗传算法的无线传感器网络重新部署方法
Based on multi-objective genetic algorithm wireless sensor network re-deploying method
  
DOI:10.7631/issn.1000-2243.2015.03.0317
中文关键词: 多目标遗传算法  传感器网络  部署  覆盖
英文关键词: multi-objective genetic algorithm  sensor network  deploying  covering
基金项目:
作者单位
邹长忠 福州大学数学与计算机科学学院福建 福州 350116 
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中文摘要:
      研究节点动态移动以增强覆盖率,同时考虑节点的最大移动距离最小化. 通过引入虚拟合力对基因进行变异,提出一种基于NSGA-II框架的改进的多目标遗传算法,达到网络覆盖率与节点移动距离之间的平衡.实验证明,该结果能得到较分散的前沿占优解.
英文摘要:
      In this paper,the dynamic movement of the nodes to enhance the coverage is studied,and minimizing the maximum moving distances of nodes is considered. With virtual force on genetic variation a based on NSGA-II modified multi-objective genetic algorithm is proposed to reach a compromise between network coverage and moving distances of nodes. Experimental results state that the proposed algorithm can get more decentralized Pareto optimal set.
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