{"title":"无线传感器网络中本地时钟间相对偏移和漂移的估计","authors":"Ayako Arao, H. Higaki","doi":"10.1109/FGCT.2017.8103722","DOIUrl":null,"url":null,"abstract":"In wireless sensor networks, each wireless sensor node records events occurred in its observation area with their observation time. Each wireless sensor node possesses its own local clock whose drift and offset are generally different from the others. In addition, it is difficult for the wireless sensor nodes to adjust drifts and offsets of their local clocks since transmission delays of messages between neighbor wireless sensor nodes are difficult to estimate due to CSMA/CA and RTS/CTS control for collision avoidance. Thus, it is difficult to achieve an order and an interval among events observed by different wireless sensor nodes. Moreover, even if multiple wireless sensor nodes observe the same events, their recorded observation times might be different and two observation records for the same event by multiple wireless sensor nodes are not always recognized as the records for the same event. Based on an assumption that observation areas of neighbor wireless sensor nodes are overlapped, by using observation records of the commonly observed events by neighbor wireless sensor nodes, a novel method to estimate the relative drift and offset between local clocks of the neighbor wireless sensor nodes. Here, each sensor node only detects the occurrences of events and cannot achieve the locations where the events occur. Hence, commonly observed events between neighbor wireless sensor nodes are required to be detected. Our proposed method applies a heuristic that multiple observation records in neighbor wireless sensor nodes whose intervals are the same are estimated to be commonly observed events.","PeriodicalId":380950,"journal":{"name":"2017 Global Wireless Summit (GWS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of relative offset and drift between local clocks in wireless sensor networks\",\"authors\":\"Ayako Arao, H. Higaki\",\"doi\":\"10.1109/FGCT.2017.8103722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In wireless sensor networks, each wireless sensor node records events occurred in its observation area with their observation time. Each wireless sensor node possesses its own local clock whose drift and offset are generally different from the others. In addition, it is difficult for the wireless sensor nodes to adjust drifts and offsets of their local clocks since transmission delays of messages between neighbor wireless sensor nodes are difficult to estimate due to CSMA/CA and RTS/CTS control for collision avoidance. Thus, it is difficult to achieve an order and an interval among events observed by different wireless sensor nodes. Moreover, even if multiple wireless sensor nodes observe the same events, their recorded observation times might be different and two observation records for the same event by multiple wireless sensor nodes are not always recognized as the records for the same event. Based on an assumption that observation areas of neighbor wireless sensor nodes are overlapped, by using observation records of the commonly observed events by neighbor wireless sensor nodes, a novel method to estimate the relative drift and offset between local clocks of the neighbor wireless sensor nodes. Here, each sensor node only detects the occurrences of events and cannot achieve the locations where the events occur. Hence, commonly observed events between neighbor wireless sensor nodes are required to be detected. Our proposed method applies a heuristic that multiple observation records in neighbor wireless sensor nodes whose intervals are the same are estimated to be commonly observed events.\",\"PeriodicalId\":380950,\"journal\":{\"name\":\"2017 Global Wireless Summit (GWS)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Global Wireless Summit (GWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FGCT.2017.8103722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Global Wireless Summit (GWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FGCT.2017.8103722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of relative offset and drift between local clocks in wireless sensor networks
In wireless sensor networks, each wireless sensor node records events occurred in its observation area with their observation time. Each wireless sensor node possesses its own local clock whose drift and offset are generally different from the others. In addition, it is difficult for the wireless sensor nodes to adjust drifts and offsets of their local clocks since transmission delays of messages between neighbor wireless sensor nodes are difficult to estimate due to CSMA/CA and RTS/CTS control for collision avoidance. Thus, it is difficult to achieve an order and an interval among events observed by different wireless sensor nodes. Moreover, even if multiple wireless sensor nodes observe the same events, their recorded observation times might be different and two observation records for the same event by multiple wireless sensor nodes are not always recognized as the records for the same event. Based on an assumption that observation areas of neighbor wireless sensor nodes are overlapped, by using observation records of the commonly observed events by neighbor wireless sensor nodes, a novel method to estimate the relative drift and offset between local clocks of the neighbor wireless sensor nodes. Here, each sensor node only detects the occurrences of events and cannot achieve the locations where the events occur. Hence, commonly observed events between neighbor wireless sensor nodes are required to be detected. Our proposed method applies a heuristic that multiple observation records in neighbor wireless sensor nodes whose intervals are the same are estimated to be commonly observed events.