摘要
节点部署优化技术是无线传感器网络的主要应用点,也是近年来国内外学者研究的热点问题,它在军事、民防、环境等多个领域中具有广阔的应用前景.针对目前无线传感节点部署方法存在节点分布不均匀、覆盖不完全等问题,提出一种采用云模型改进粒子群算法,并将该算法用于无线传感器网络节点部署.对比实验结果表明,该方法能够以相对较小的代价完成传感器感知节点部署,能快速收敛于最优解,能够降低网络部署的成本,提高网络的整体覆盖率.
The node deployment optimization techniques is the main point of application of wireless sensor networks, is the hot issues of domestic and foreign scholars in recent years in the military, civil defense, environmental and other fields has broad application prospects. For wireless sensor node deployment methods exist uneven distribution of nodes, covering the incomplete wait, proposed a cloud model to improve particle swarm optimization for wireless sensor node deployment. The experimental results show that this method can be completed relatively small cost sensor aware node deployment, fast convergence in the optimal solution can reduce network deployment costs, and improve overall network coverage.
出处
《华中师范大学学报（自然科学版）》
CAS
北大核心
2013年第2期185-188,共4页
Journal of Central China Normal University：Natural Sciences
基金
湖南省教育厅科研项目(10B334)
关键词
无线传感器网络
云模型
节点部署
传感器
改进粒子群优化算法
wireless sensor networks
cloud model
node selection
sensor
improved particle swarm optimization
