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

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

CLC Number: 

• TP18