摘要
随着无线传感器网络(WSNs)被广泛地应用,覆盖优化问题已经成为网络服务质量中的一个关键问题。针对基本人工蜂群(ABC)算法的缺陷,基于混沌优化和自适应变化提出了一种改进的ABC(IABC)算法;并在此基础上,设计了基于IABC算法的动态网络覆盖优化方案。实验结果表明:IABC算法明显改善了基本ABC算法的缺陷,有效地延长了网络寿命,保证了网络的服务质量。
As wireless sensor networks（ WSNs） is widely applied,coverage optimization has become one of the critical issues of the quality of network service.Aiming at fault of basic artificial bee colony（ ABC） algorithm,an improved ABC（ IABC） algorithm based on Chaotic optimization and self-adaptive change is proposed.Based on IABC,a new dynamic network coverage optimization scheme is designed.Experiment results demonstrate that IABC obviously improves defect of the basic ABC,effectively prolongs lifetime of network,and ensures service quality of network.
出处
《传感器与微系统》
CSCD
北大核心
2014年第7期123-125,132,共4页
Transducer and Microsystem Technologies
关键词
人工蜂群算法
无线传感器网络
覆盖优化
混沌
自适应
artificial bee colony（ABC） algorithm
wireless sensor networks（WSNs）
coverage optimization
chaotic
self-adaptive
