{"title":"传感器网络定位的微免疫算法","authors":"Slaven Glumac, D. Arbula, Z. Kovačić","doi":"10.1109/SAS.2015.7133647","DOIUrl":null,"url":null,"abstract":"An algorithm for solving a sensor localization problem on a low-cost microcontroller platform is presented in this paper. Localization is described as an optimization problem and the use of microimmune algorithm (μIA) is proposed for solving it. The presented design of μIA is able to perform under restricted memory capacity of a majority of standard low-cost microcontroller platforms. A microimmune optimization approach was compared to a closed form solution using subspace techniques and based on the simulation experiments, a comparable quality of both optimization approaches was obtained.","PeriodicalId":384041,"journal":{"name":"2015 IEEE Sensors Applications Symposium (SAS)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Microimmune algorithm for sensor network localization\",\"authors\":\"Slaven Glumac, D. Arbula, Z. Kovačić\",\"doi\":\"10.1109/SAS.2015.7133647\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm for solving a sensor localization problem on a low-cost microcontroller platform is presented in this paper. Localization is described as an optimization problem and the use of microimmune algorithm (μIA) is proposed for solving it. The presented design of μIA is able to perform under restricted memory capacity of a majority of standard low-cost microcontroller platforms. A microimmune optimization approach was compared to a closed form solution using subspace techniques and based on the simulation experiments, a comparable quality of both optimization approaches was obtained.\",\"PeriodicalId\":384041,\"journal\":{\"name\":\"2015 IEEE Sensors Applications Symposium (SAS)\",\"volume\":\"189 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Sensors Applications Symposium (SAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAS.2015.7133647\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2015.7133647","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Microimmune algorithm for sensor network localization
An algorithm for solving a sensor localization problem on a low-cost microcontroller platform is presented in this paper. Localization is described as an optimization problem and the use of microimmune algorithm (μIA) is proposed for solving it. The presented design of μIA is able to perform under restricted memory capacity of a majority of standard low-cost microcontroller platforms. A microimmune optimization approach was compared to a closed form solution using subspace techniques and based on the simulation experiments, a comparable quality of both optimization approaches was obtained.