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基于SD-MODE的WSN覆盖优化策略

Coverage Optimized Strategy in WSN Based on SD-MODE
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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。 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 e-MOEA algorithm, simulation results demonstrate that SD-MODE algorithm can orient mobile node better, enhance percent of coverage, and decrease average movement distance.
出处 《计算机工程》 CAS CSCD 北大核心 2010年第5期103-105,共3页 Computer Engineering
基金 湖南省教育厅基金资助项目(09C961) 湖南省自然科学基金资助项目(05JJ30125) 湖南省教育厅科研基金资助重点项目(06A074)
关键词 差分进化 空间距离 无线传感器网络 覆盖度 Differential Evolutionary(DE) Spacial Distance(SD) Wireless Sensor Network(WSN) degree of coverage
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