{"title":"基于粒子群优化的无线传感器网络能量平衡路由机制","authors":"Anlin Zhang, Hui Chen, Daoying Huang, Weizhen Wang, Shuai Dong, X. Wang","doi":"10.1109/ICCSN.2019.8905303","DOIUrl":null,"url":null,"abstract":"At the stage of data transmission in wireless sensor network, when node's transmitting data give a change, it would make the network topology unstable. Focusing on resolved this problem, An energy balanced routing mechanism EBRP-SPSO(Energy-balanced routing protocol based on self-adaption particle swarm optimization) was proposed, first of all, it improved the traditional clustering algorithm, by introduced two influence factors of the optimal number of cluster heads and node election radius, improved the cluster head selection of threshold to make a bunch of quotas to get more reasonable distribution, and then, in order to make the number of clusters more reasonable distribution, EBRP-SPSO introduced an improved particle swarm optimization algorithm, so that the network in the data transmission phase could be adaptive to the node energy balance and maintain the stability of the network topology. Compared with the traditional LEACH protocol and the improved HEED protocol, simulation results show that the improved routing mechanism can effectively improve the life cycle of the network, and the energy of nodes in the network can be well balanced.","PeriodicalId":330766,"journal":{"name":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Energy Balance Routing Mechanism for Wireless Sensor Networks Based on Particle Swarm Optimization\",\"authors\":\"Anlin Zhang, Hui Chen, Daoying Huang, Weizhen Wang, Shuai Dong, X. Wang\",\"doi\":\"10.1109/ICCSN.2019.8905303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At the stage of data transmission in wireless sensor network, when node's transmitting data give a change, it would make the network topology unstable. Focusing on resolved this problem, An energy balanced routing mechanism EBRP-SPSO(Energy-balanced routing protocol based on self-adaption particle swarm optimization) was proposed, first of all, it improved the traditional clustering algorithm, by introduced two influence factors of the optimal number of cluster heads and node election radius, improved the cluster head selection of threshold to make a bunch of quotas to get more reasonable distribution, and then, in order to make the number of clusters more reasonable distribution, EBRP-SPSO introduced an improved particle swarm optimization algorithm, so that the network in the data transmission phase could be adaptive to the node energy balance and maintain the stability of the network topology. Compared with the traditional LEACH protocol and the improved HEED protocol, simulation results show that the improved routing mechanism can effectively improve the life cycle of the network, and the energy of nodes in the network can be well balanced.\",\"PeriodicalId\":330766,\"journal\":{\"name\":\"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSN.2019.8905303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSN.2019.8905303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在无线传感器网络的数据传输阶段,当节点的传输数据发生变化时,会导致网络拓扑不稳定。针对这一问题,提出了一种基于自适应粒子群优化的能量均衡路由机制EBRP-SPSO(energy -balanced routing protocol based on self- adaptive particle swarm optimization),首先对传统的聚类算法进行了改进,通过引入最优簇头数和节点选举半径两个影响因素,改进了簇头选择阈值,使一堆配额得到更合理的分配;为了使簇数分布更加合理,EBRP-SPSO引入了改进的粒子群优化算法,使网络在数据传输阶段能够适应节点能量平衡,保持网络拓扑结构的稳定性。仿真结果表明,与传统的LEACH协议和改进的HEED协议相比,改进的路由机制可以有效地提高网络的生命周期,并且可以很好地平衡网络中节点的能量。
An Energy Balance Routing Mechanism for Wireless Sensor Networks Based on Particle Swarm Optimization
At the stage of data transmission in wireless sensor network, when node's transmitting data give a change, it would make the network topology unstable. Focusing on resolved this problem, An energy balanced routing mechanism EBRP-SPSO(Energy-balanced routing protocol based on self-adaption particle swarm optimization) was proposed, first of all, it improved the traditional clustering algorithm, by introduced two influence factors of the optimal number of cluster heads and node election radius, improved the cluster head selection of threshold to make a bunch of quotas to get more reasonable distribution, and then, in order to make the number of clusters more reasonable distribution, EBRP-SPSO introduced an improved particle swarm optimization algorithm, so that the network in the data transmission phase could be adaptive to the node energy balance and maintain the stability of the network topology. Compared with the traditional LEACH protocol and the improved HEED protocol, simulation results show that the improved routing mechanism can effectively improve the life cycle of the network, and the energy of nodes in the network can be well balanced.