{"title":"改进免疫粒子群算法在三维节点定位中的应用","authors":"Minghong Xu","doi":"10.54097/fcis.v4i3.11154","DOIUrl":null,"url":null,"abstract":"When 2D localization algorithm is extended to 3D space, it achieves node localization with better localization accuracy. An improved immune particle swarm optimization (IIPSO) localization algorithm is proposed to estimate the localization of nodes in wireless sensor networks (WSN). The results show that IIPSO algorithm outperforms the traditional two-dimensional localization algorithm based on iterative estimation of the center of mass by 3%-6%. The proposed algorithm has better resistance to RSSI measurement errors and can achieve more than 99% node localization coverage through multiple iterations, which is effective for WSN.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Improved Immune Particle Swarm Optimization in 3D Node Localization\",\"authors\":\"Minghong Xu\",\"doi\":\"10.54097/fcis.v4i3.11154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When 2D localization algorithm is extended to 3D space, it achieves node localization with better localization accuracy. An improved immune particle swarm optimization (IIPSO) localization algorithm is proposed to estimate the localization of nodes in wireless sensor networks (WSN). The results show that IIPSO algorithm outperforms the traditional two-dimensional localization algorithm based on iterative estimation of the center of mass by 3%-6%. The proposed algorithm has better resistance to RSSI measurement errors and can achieve more than 99% node localization coverage through multiple iterations, which is effective for WSN.\",\"PeriodicalId\":346823,\"journal\":{\"name\":\"Frontiers in Computing and Intelligent Systems\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Computing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54097/fcis.v4i3.11154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54097/fcis.v4i3.11154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Improved Immune Particle Swarm Optimization in 3D Node Localization
When 2D localization algorithm is extended to 3D space, it achieves node localization with better localization accuracy. An improved immune particle swarm optimization (IIPSO) localization algorithm is proposed to estimate the localization of nodes in wireless sensor networks (WSN). The results show that IIPSO algorithm outperforms the traditional two-dimensional localization algorithm based on iterative estimation of the center of mass by 3%-6%. The proposed algorithm has better resistance to RSSI measurement errors and can achieve more than 99% node localization coverage through multiple iterations, which is effective for WSN.
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