电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2015年
1期
26-29
,共4页
无线传感器网络%路由协议%粒子群算法%蚁群算法
無線傳感器網絡%路由協議%粒子群算法%蟻群算法
무선전감기망락%로유협의%입자군산법%의군산법
wireless sensor network%routing protocol%PSO%ant colony algorithm
为了降低无线传感器网络(WSN)能量消耗,延长网络生存周期,提出了一种基于混沌粒子群(CPSO)和蚁群算法相结合的路由协议。该协议针对典型的分簇协议LEACH(Low-Energy Adaptive Clustering Hierarchy)协议的簇头选择进行了优化,考虑了节点剩余能量和簇内密集性等因素,采用新的混沌粒子群算法对簇头选择进行优化。然后,针对LEACH协议簇头到基站采用单跳通信,容易使簇头早亡的问题,采用蚁群算法优化簇头到基站的路由路径,减少通信消耗的能量。仿真结果表明,与传统的LEACH协议相比,新的协议能有效减少能量消耗,延长网络生命周期。
為瞭降低無線傳感器網絡(WSN)能量消耗,延長網絡生存週期,提齣瞭一種基于混沌粒子群(CPSO)和蟻群算法相結閤的路由協議。該協議針對典型的分簇協議LEACH(Low-Energy Adaptive Clustering Hierarchy)協議的簇頭選擇進行瞭優化,攷慮瞭節點剩餘能量和簇內密集性等因素,採用新的混沌粒子群算法對簇頭選擇進行優化。然後,針對LEACH協議簇頭到基站採用單跳通信,容易使簇頭早亡的問題,採用蟻群算法優化簇頭到基站的路由路徑,減少通信消耗的能量。倣真結果錶明,與傳統的LEACH協議相比,新的協議能有效減少能量消耗,延長網絡生命週期。
위료강저무선전감기망락(WSN)능량소모,연장망락생존주기,제출료일충기우혼돈입자군(CPSO)화의군산법상결합적로유협의。해협의침대전형적분족협의LEACH(Low-Energy Adaptive Clustering Hierarchy)협의적족두선택진행료우화,고필료절점잉여능량화족내밀집성등인소,채용신적혼돈입자군산법대족두선택진행우화。연후,침대LEACH협의족두도기참채용단도통신,용역사족두조망적문제,채용의군산법우화족두도기참적로유로경,감소통신소모적능량。방진결과표명,여전통적LEACH협의상비,신적협의능유효감소능량소모,연장망락생명주기。
In order to reduce the energy consumption of nodes and prolong the lifetime of WSN, a routing protocol based on Chaostic PSO and Ant Colony Algorithm is proposed.The protocol optimizes cluster-head selection of LEACH protocol.It considers nodes' residual energy and density within the cluster.It optimizes cluster-head selection by chaotic PSO.In LEACH protocol cluster heads communicate with Base Station (BS) by one hop communication.It will make the cluster heads dead easily.Using Ant Colony Algorithm optimizes the routing of cluster-head and BS.to reduce the communication cost of energy. The simulation results show that,compared with LEACH,the new protocol can efficiently save energy and prolong the lifetime of WSN.