| 基于QPSO的WSAN中执行器优化部署研究 |
| |
| 引用本文： | 闫效莺,程国建,周冠武.基于QPSO的WSAN中执行器优化部署研究[J].计算机应用研究,2012,29(10):3873-3875. |
| |
| 作者姓名： | 闫效莺 程国建 周冠武 |
| |
| 作者单位： | 1. 西安石油大学 计算机学院,西安,710065
2. 西安交通大学 机械学院,西安,710049 |
| |
| 基金项目： | 国家自然科学基金资助项目（40872087）; 西安石油大学科技创新基金资助项目（2012QN006） |
| |
| 摘 要： | 为了提高WSAN的工作效率,在量子粒子群算法的基础上,提出一种WSAN中执行器节点的优化部署策略。该策略中多个粒子群在独立搜索解空间的同时,以一定的通信频率共享最优值。仿真结果表明,该部署策略可提高节点的实时覆盖率,并与最新的WSAN部署策略进行了对比。
|
| 关 键 词： | 无线传感器执行器网络 量子粒子群优化 实时覆盖 节点优化部署 粒子进化 通信频率 |
QPSO based actor optimal deployment in WSAN |
| |
| YAN Xiao-ying,CHENG Guo-jian,ZHOU Guan-wu.QPSO based actor optimal deployment in WSAN[J].Application Research of Computers,2012,29(10):3873-3875. |
| |
| Authors: | YAN Xiao-ying CHENG Guo-jian ZHOU Guan-wu |
| |
| Affiliation: | 1. School of Computer Science, Xi'an Shiyou University, Xi'an 710065, China; 2. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China |
| |
| Abstract: | To improve the efficiency of WSAN, based on QPSO, this paper proposed a new coverage optimization strategy for actor deployment in WSAN. It adopted a number of particles independently searching for solution space, to share the current global optimal value at a certain communication rate. Through experiments, the results show that the proposed method can improve the real-time coverage rate, and then compare the performances of this algorithm with other latest WSAN deployment algorithms. |
| |
| Keywords: | wireless sensor and actor networks （WSAN） quantum-behaved particle swarm optimization （QPSO） real-time coverage node optimal deployment particle evolution communication frequency |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用研究》浏览原始摘要信息 |
|
点击此处可从《计算机应用研究》下载全文 |
|
