现代电子技术2018，Vol.41Issue(3)：14-18,5.DOI:10.16652/j.issn.1004-373x.2018.03.004
改进人工蜂群算法的无线传感器网络覆盖优化
Wireless sensor networks coverage optimization based on improved artificial bee colony algorithm
摘要
Abstract
Since the wireless sensor networks coverage belongs to the combinatorial optimization category,the artificial bee colony algorithm is introduced and perfected to improve the coverage rate in the condition of limited node quantity. The global optimal individual feedback is injected to improve the convergence rate,and update the refresh method of investigation bee. The one-dimensional Gaussian mutation method and particle prior knowledge are used fully to make the particles active,and improve the global search capability of the algorithm. The algorithm with 40 nodes was carried out with simulation experiment. The experi-mental results show that the coverage rate of the improved algorithm can reach up to 87.2％,and is increased by 1.6％ and 3.87％ respectively than that of the improved shuffled frog leaping algorithm and standard artificial bee colony algorithm.关键词
无线传感器网络/人工蜂群/全局最优/一维高斯变异/概率测量模型/覆盖优化Key words
wireless sensor network/artificial bee colony/global optimization/one-dimensional Gaussian mutation/proba-bilistic measurement model/coverage optimization分类
信息技术与安全科学引用本文复制引用
李华,卢静..改进人工蜂群算法的无线传感器网络覆盖优化[J].现代电子技术,2018,41(3):14-18,5.基金项目
国家自然科学基金项目(61501174) （61501174）
河南省科技攻关项目(132102310170) Project Supported by National Natural Science Foundation of China(61501174),Henan Science and Technology Key Project(132102310170) （132102310170）
