{"title":"无线传感器网络的可旋转定向天线定位","authors":"Jehn-Ruey Jiang, Chih-Ming Lin, Yi-Jia Hsu","doi":"10.1109/ICPPW.2010.79","DOIUrl":null,"url":null,"abstract":"In this paper we show the design and implementation of a novel localization scheme, called Rotatable Antenna Localization (RAL), for a wireless sensor network (WSN) with beacon nodes with directional antennas which rotate regularly. A beacon node periodically sends beacon signals containing its position and antenna orientations. By observing the variation of the received signal strength indication (RSSI) values of the beacon signals, a sensor node can estimate the orientation relative to the beacon node. With the estimated orientations and exact positions of two distinct beacon nodes, a sensor can calculate its own location. Four methods are proposed and implemented for the sensor node to estimate its orientations. Among them, we find that the strongest-signal (SS) method has the most accurate orientation estimation. With SS method, we implement RAL scheme and apply it to a WSN in a 10- by 10-meter indoor environment with two beacon nodes at two ends of a side. Our experiment demonstrates that the average position estimation error of RAL is 76 centimeters. We further propose two methods, namely grid- and vector-based approximation methods, to improve RAL by installing more than two beacon nodes. We show by simulation that the improvements can reduce about 10% of the position error.","PeriodicalId":415472,"journal":{"name":"2010 39th International Conference on Parallel Processing Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Localization with Rotatable Directional Antennas for Wireless Sensor Networks\",\"authors\":\"Jehn-Ruey Jiang, Chih-Ming Lin, Yi-Jia Hsu\",\"doi\":\"10.1109/ICPPW.2010.79\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we show the design and implementation of a novel localization scheme, called Rotatable Antenna Localization (RAL), for a wireless sensor network (WSN) with beacon nodes with directional antennas which rotate regularly. A beacon node periodically sends beacon signals containing its position and antenna orientations. By observing the variation of the received signal strength indication (RSSI) values of the beacon signals, a sensor node can estimate the orientation relative to the beacon node. With the estimated orientations and exact positions of two distinct beacon nodes, a sensor can calculate its own location. Four methods are proposed and implemented for the sensor node to estimate its orientations. Among them, we find that the strongest-signal (SS) method has the most accurate orientation estimation. With SS method, we implement RAL scheme and apply it to a WSN in a 10- by 10-meter indoor environment with two beacon nodes at two ends of a side. Our experiment demonstrates that the average position estimation error of RAL is 76 centimeters. We further propose two methods, namely grid- and vector-based approximation methods, to improve RAL by installing more than two beacon nodes. We show by simulation that the improvements can reduce about 10% of the position error.\",\"PeriodicalId\":415472,\"journal\":{\"name\":\"2010 39th International Conference on Parallel Processing Workshops\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 39th International Conference on Parallel Processing Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPPW.2010.79\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 39th International Conference on Parallel Processing Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPPW.2010.79","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Localization with Rotatable Directional Antennas for Wireless Sensor Networks
In this paper we show the design and implementation of a novel localization scheme, called Rotatable Antenna Localization (RAL), for a wireless sensor network (WSN) with beacon nodes with directional antennas which rotate regularly. A beacon node periodically sends beacon signals containing its position and antenna orientations. By observing the variation of the received signal strength indication (RSSI) values of the beacon signals, a sensor node can estimate the orientation relative to the beacon node. With the estimated orientations and exact positions of two distinct beacon nodes, a sensor can calculate its own location. Four methods are proposed and implemented for the sensor node to estimate its orientations. Among them, we find that the strongest-signal (SS) method has the most accurate orientation estimation. With SS method, we implement RAL scheme and apply it to a WSN in a 10- by 10-meter indoor environment with two beacon nodes at two ends of a side. Our experiment demonstrates that the average position estimation error of RAL is 76 centimeters. We further propose two methods, namely grid- and vector-based approximation methods, to improve RAL by installing more than two beacon nodes. We show by simulation that the improvements can reduce about 10% of the position error.