| 一种基于粒子群算法的无线传感器k重覆盖优化策略 |
| |
| 引用本文： | 郭龙,熊伟,李牧东. 一种基于粒子群算法的无线传感器k重覆盖优化策略[J]. 科学技术与工程, 2012, 12(21): 5198-5201 |
| |
| 作者姓名： | 郭龙 熊伟 李牧东 |
| |
| 作者单位： | 空军工程大学电讯工程学院,西安,710077 |
| |
| 摘 要： | 为了实现无线传感器网络k重覆盖范围的最大化，延长网络寿命，提出了一种基于粒子群算法的无线传感器k重覆盖优化策略，提高了k重覆盖率，进而提高节点的利用率，延长无线传感器网络的寿命。同时改进了粒子群的惯性权重，有效地避免了标准粒子群算法容易出现的早熟问题，提高算法的稳定性。通过实验仿真证明了此方法的有效性。
|
| 关 键 词： | 无线传感器网络；粒子群算法；k重覆盖策略 |
| 收稿时间： | 2012-04-18 |
| 修稿时间： | 2012-04-18 |
A k-coverage strategy of wireless sensor networks based on particle swarm optimizer |
| |
| GUO Long,XIONG Wei and LI Mu-dong. A k-coverage strategy of wireless sensor networks based on particle swarm optimizer[J]. Science Technology and Engineering, 2012, 12(21): 5198-5201 |
| |
| Authors: | GUO Long XIONG Wei LI Mu-dong |
| |
| Affiliation: | (Institute of Telecommunication engineering,Air Force engineering University,Xi’an 710077,P.R.China) |
| |
| Abstract: | To maximize the network k-coverage and extend the life of the network, this paper proposed a k-coverage strategy of wireless sensor networks based on particle swarm optimizer. The k-coverage rate and the use ratio of need were improved, and thus the network lifetime was prolonged. The inertia weight of particle swarm optimizer was advanced. The strategy avoided a phenomenon of premature which often occurred when using the method of standard, and improved the stability of the algorithm. The simulation experiment indicates that the method is effective. |
| |
| Keywords: | Wireless Sensor Networks(WSN) Particle Swarm Optimizer(PSO) k-coverage strategy |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《科学技术与工程》浏览原始摘要信息 |
|
点击此处可从《科学技术与工程》下载全文 |
|
