摘要
提出了基于量子粒子群的无线传感器网络覆盖优化算法.由于在量子空间中粒子满足集聚态性质完全不同,使得该算法可以在整个可行区域内搜索.全局搜索能力远远优干基本粒子群,克服了粒子群算法容易陷入局部最优的缺点.仿真结果表明,该算法比基本粒子群算法拥有更好的覆盖优化效果。
An optimization method of wireless sensor networks coverage based on quantum-behaved particle swarm optimization（QPSO） is proposed in this paper. The aggregation characteristic of every particle in the quantum space is unique, so the algorithm can search throughout the entire feasible region. Thus the QPSO, of which global search ability is much better than PSO, can avoid the disadvantages of being easily trapped into a local extremum. Simulation results show that the proposed algorithm is superior to particle swarm optimization in coverage optimization.
出处
《微电子学与计算机》
CSCD
北大核心
2012年第6期96-99,103,共5页
Microelectronics & Computer
关键词
无线传感器网络
量子
粒子群
覆盖优化
覆盖率
WSN
quantuml particle swarm algorithm
coverage optimization
coverage rate
