{"title":"利用粒子群优化技术定位WiFi接入点","authors":"Anshu Bhuwania, Pritam Subba, U. K. Roy","doi":"10.1109/ICRCICN.2016.7813641","DOIUrl":null,"url":null,"abstract":"A good WiFi network should have minimum number of access points covering maximum area. In this paper, we have shown how such a network of access points may be set up using Particle Swarm Optimization (PSO). Access points are only placed on the walls in rooms for security reason. Loss of signal strength due to free space as well as walls has been taken into consideration. Simulation results also prove the correctness of the algorithm.","PeriodicalId":254393,"journal":{"name":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Positioning WiFi access points using Particle Swarm Optimization\",\"authors\":\"Anshu Bhuwania, Pritam Subba, U. K. Roy\",\"doi\":\"10.1109/ICRCICN.2016.7813641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A good WiFi network should have minimum number of access points covering maximum area. In this paper, we have shown how such a network of access points may be set up using Particle Swarm Optimization (PSO). Access points are only placed on the walls in rooms for security reason. Loss of signal strength due to free space as well as walls has been taken into consideration. Simulation results also prove the correctness of the algorithm.\",\"PeriodicalId\":254393,\"journal\":{\"name\":\"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRCICN.2016.7813641\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRCICN.2016.7813641","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Positioning WiFi access points using Particle Swarm Optimization
A good WiFi network should have minimum number of access points covering maximum area. In this paper, we have shown how such a network of access points may be set up using Particle Swarm Optimization (PSO). Access points are only placed on the walls in rooms for security reason. Loss of signal strength due to free space as well as walls has been taken into consideration. Simulation results also prove the correctness of the algorithm.