| 改进人工蜂群算法在WSNs覆盖优化中的应用 |
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| 引用本文： | 黄庆展,毛力,吴滨,杨弘,肖炜. 改进人工蜂群算法在WSNs覆盖优化中的应用[J]. 传感器与微系统, 2018, 0(5): 151-153,157. DOI: 10.13873/J.1000-9787(2018)05-0151-03 |
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| 作者姓名： | 黄庆展 毛力 吴滨 杨弘 肖炜 |
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| 作者单位： | 江南大学物联网工程学院,江苏无锡,214122中国水产科学研究院淡水渔业研究中心,江苏无锡,214081 |
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| 基金项目： | 现代农业产业技术体系专项资金资助项目(CARS—49),国家"十二五"农村领域国家科技计划子资助项目(2015BAD17B02—8),江苏省产学研合作资助项目(BY2015019—30) |
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| 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.
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| 关 键 词： | 人工蜂群算法 无线传感器网络 网络覆盖率 覆盖因子 反馈策略 artificial bee colony(ABC)algorithm wireless sensor networks(WSNs) network coverage rate coverage factor feedback strategy |
Application of improved ABC algorithm in optimization of WSNs coverage |
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| HUANG Qing-zhan,MAO Li,WU Bin,YANG Hong,XIAO Wei. Application of improved ABC algorithm in optimization of WSNs coverage[J]. Transducer and Microsystem Technology, 2018, 0(5): 151-153,157. DOI: 10.13873/J.1000-9787(2018)05-0151-03 |
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| Authors: | HUANG Qing-zhan MAO Li WU Bin YANG Hong XIAO Wei |
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| 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,and network energy consumption,and prolongs the life cycle of WSNs. |
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