{"title":"无线传感器网络中使用移动信标的定位算法","authors":"Majdoub Manel, E. Hamdi","doi":"10.1109/GSCIT.2014.6970114","DOIUrl":null,"url":null,"abstract":"The determination of the geographical locations of sensors is one of the important problems in wireless sensor networks. Indeed, the need for position estimation of a node is not only necessary for the operation of network but also for the interpretation of data sent. The use of GPS is a hardware solution that provides good accuracy but expensive and is not available in any environment. However, the use algorithm based on mobile beacon location is a very promising approach. In this paper, we study and analyse the impact of using an algorithm based on least square method when we use different curves (Hilbert, spiral, sinusoidal). Although, we present a detailed analysis of this algorithm. In addition, the performance evaluation and comparison results are obtained by using the Contiki Cooja Simulator.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A localization algorithm using a mobile beacon in wireless sensor networks\",\"authors\":\"Majdoub Manel, E. Hamdi\",\"doi\":\"10.1109/GSCIT.2014.6970114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The determination of the geographical locations of sensors is one of the important problems in wireless sensor networks. Indeed, the need for position estimation of a node is not only necessary for the operation of network but also for the interpretation of data sent. The use of GPS is a hardware solution that provides good accuracy but expensive and is not available in any environment. However, the use algorithm based on mobile beacon location is a very promising approach. In this paper, we study and analyse the impact of using an algorithm based on least square method when we use different curves (Hilbert, spiral, sinusoidal). Although, we present a detailed analysis of this algorithm. In addition, the performance evaluation and comparison results are obtained by using the Contiki Cooja Simulator.\",\"PeriodicalId\":270622,\"journal\":{\"name\":\"2014 Global Summit on Computer & Information Technology (GSCIT)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Global Summit on Computer & Information Technology (GSCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSCIT.2014.6970114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Global Summit on Computer & Information Technology (GSCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSCIT.2014.6970114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A localization algorithm using a mobile beacon in wireless sensor networks
The determination of the geographical locations of sensors is one of the important problems in wireless sensor networks. Indeed, the need for position estimation of a node is not only necessary for the operation of network but also for the interpretation of data sent. The use of GPS is a hardware solution that provides good accuracy but expensive and is not available in any environment. However, the use algorithm based on mobile beacon location is a very promising approach. In this paper, we study and analyse the impact of using an algorithm based on least square method when we use different curves (Hilbert, spiral, sinusoidal). Although, we present a detailed analysis of this algorithm. In addition, the performance evaluation and comparison results are obtained by using the Contiki Cooja Simulator.