摘要
本文提出了一种基于改进人工鱼群算法的无线传感器网络覆盖优化策略.通过对人工鱼群视野范围和步长的自适应调整,提高了算法的寻优精度、收敛速度以及稳定性;再结合WSN网络覆盖的性能,使网络覆盖得以优化.仿真结果表明,改进的人工鱼群算法优化的网络覆盖率比基本人工鱼群算法的网络覆盖率提高了17%.
This paper presents a coverage optimization strategy based on improved artificial fish swarm algorithm for wireless sensor networks, by adjusting the artificial fish swarm range of vision and step adaptively improved the accuracy of optimization, convergence speed and stability, then combined with the nature of the WSN network coverage, the network can be optimized. The simulation results show that： Compared to the basic artificial fish swarm algorithm , the improved artificial fish swarm algorithm optimize the network coverage of the network coverage improved 17%.
出处
《微电子学与计算机》
CSCD
北大核心
2013年第2期83-86,共4页
Microelectronics & Computer
基金
国家自然科学基金项目(91016006)
黑龙江省自然科学基金项目(F201008)
齐齐哈尔市科学技术计划项目(GYGG2010-03-1)
关键词
无线传感器网络
鱼群算法
覆盖优化
wireless sensor networks
fish swarm algorithm
coverage optimization
作者简介
李丽女，（1979-），硕士，讲师．研究领域为群体智能算法、网络．
