摘要: 改进经典差分进化算法,得到一种基于空间距离的多目标差分进化(SD-MODE)算法,将其应用于无线传感器网络的覆盖优化。仿真结果表明,相比经典的NSGA-II算法和ε-MOEA算法,SD-MODE算法能更好地定位移动节点,增大覆盖率,减少节点的平均运动距离。
关键词:
差分进化,
空间距离,
无线传感器网络,
覆盖度
Abstract: This paper improves classical Differential Evolution(DE) algorithm, gets a Spacial Distance based Multi-Objective Differential Evolutionary(SD-MODE) algorithm, applies it to coverage optimized in Wireless Sensor Network(WSN). Compared with classical NSGA-II algorithm and ε-MOEA algorithm, simulation results demonstrate that SD-MODE algorithm can orient mobile node better, enhance percent of coverage, and decrease average movement distance.
Key words:
Differential Evolutionary(DE),
Spacial Distance(SD),
Wireless Sensor Network(WSN),
degree of coverage
中图分类号:
曾映兰;郑金华. 基于SD-MODE的WSN覆盖优化策略[J]. 计算机工程, 2010, 36(5): 103-105.
ZENG Ying-lan; ZHENG Jin-hua. Coverage Optimized Strategy in WSN Based on SD-MODE[J]. Computer Engineering, 2010, 36(5): 103-105.