{"title":"基于改进粒子群优化的无线传感器网络传感器节点部署","authors":"Zhiming Li, Lin Lei","doi":"10.1109/ASEMD.2009.5306655","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks (WSNs) is always consist of stationary and mobile sensor nodes, sensor node deployment is one of the key topics addressed in the researches of WSNs, traditional virtual force(VF) algorithm is presented. This paper proposes a method of improved particle swarm optimization to solve the problem. The simulation results show that the improved particle swarm optimization has better performance on the sensor node deployment problem and reduce the network energy consumption and increase the whole coverage ratio.","PeriodicalId":354649,"journal":{"name":"2009 International Conference on Applied Superconductivity and Electromagnetic Devices","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"77","resultStr":"{\"title\":\"Sensor node deployment in wireless sensor networks based on improved particle swarm optimization\",\"authors\":\"Zhiming Li, Lin Lei\",\"doi\":\"10.1109/ASEMD.2009.5306655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor networks (WSNs) is always consist of stationary and mobile sensor nodes, sensor node deployment is one of the key topics addressed in the researches of WSNs, traditional virtual force(VF) algorithm is presented. This paper proposes a method of improved particle swarm optimization to solve the problem. The simulation results show that the improved particle swarm optimization has better performance on the sensor node deployment problem and reduce the network energy consumption and increase the whole coverage ratio.\",\"PeriodicalId\":354649,\"journal\":{\"name\":\"2009 International Conference on Applied Superconductivity and Electromagnetic Devices\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"77\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Applied Superconductivity and Electromagnetic Devices\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASEMD.2009.5306655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Applied Superconductivity and Electromagnetic Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASEMD.2009.5306655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor node deployment in wireless sensor networks based on improved particle swarm optimization
Wireless sensor networks (WSNs) is always consist of stationary and mobile sensor nodes, sensor node deployment is one of the key topics addressed in the researches of WSNs, traditional virtual force(VF) algorithm is presented. This paper proposes a method of improved particle swarm optimization to solve the problem. The simulation results show that the improved particle swarm optimization has better performance on the sensor node deployment problem and reduce the network energy consumption and increase the whole coverage ratio.