HUANG Qing-zhan, MAO Li, WU Bin, et al. Application of improved ABC algorithm in optimization of WSNs coverage[J]. 2018, (5): 151-153+157. DOI: 10.13873/j.1000-9787(2018)05-0151-03.
改进人工蜂群算法在WSNs覆盖优化中的应用
摘要
为了改善无线传感器网络(WSNs)中节点分布不均匀、部署时间长、网络覆盖率低等缺点
提出了一种基于改进人工蜂群(ABC)算法的覆盖优化方法、通过引入覆盖因子改善观察蜂选择算子
结合反馈策略改进采蜜蜂搜索过程
采用基于当前最优值的自适应侦查策略
提高了算法的收敛速度与精度。仿真结果表明:方法通过较少的迭代次数达到传感器分布更加均匀
覆盖率更高的目的
有效减少了传感器节点冗余、降低了网络能耗
延长了WSNs的生命周期。
Abstract
In order to solve the problems of wireless sensor networks( WSNs) coverage
such as uneven distribution
long deployment time and low coverage rate
propose a novel optimization strategy of WSNs coverage based on improved artificial bee colony( ABC) algorithm. This method improves the observation bee selection operator by introducing covering rate factor( CovRate)
and combines with the feedback strategy to improve the search process
the convergence rate and the efficiency. Simulation results show that the method uses fewer iterations to achieve more uniform distribution of the sensor
higher network coverage rate
and effectively reduces the redundant of sensor nodes