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物联网定位与位置感知研究
引用本文:肖竹,王东,李仁发,易克初.物联网定位与位置感知研究[J].中国科学:信息科学,2013(10):1265-1287.
作者姓名:肖竹  王东  李仁发  易克初
作者单位:[1]湖南大学信息科学与工程学院,长沙410082 [2]西安电子科技大学综合业务网理论及关键技术国家重点实验室,西安710071
基金项目:国家高技术研究发展计划(批准号:2012AA01A301-01); 国家自然科学基金面上项目(批准号:61301148,61272061); 教育部博士点基金(批准号:20120161120019); 综合业务网理论及关键技术国家重点实验室开放课题(批准号:ISN12-05); 湖南省高校创新平台开放基金(批准号:11K017); 湖南大学“青年教师成长计划”资助项目
摘    要:物联网是近年来广受关注的新兴研究领域,被认为是信息网络在现实世界的延伸,是我国国民经济的重要增长点,将在未来科技创新和社会进步中扮演关键角色.物联网系统中,"物"节点位置是反映网络状态的重要信息之一.同时,"物"节点采集信息以及相应的信息交互过程都与节点位置信息密切相关.本文主要讨论物联网中定位与位置感知研究中的若干关键问题.探讨了物联网节点定位理论与方法,包括基于测距和非测距定位、物联网协作式定位、多传感器位置感知等议题,结合物联网中不同网络层次、应用场景和定位需求对节点位置感知技术进行归纳和总结.最后指出了仍存在的问题和值得进一步探讨的方向.

关 键 词:物联网  位置感知  位置测量  测距定位  非测距定位  协作  无线传感网  数据融合

Localization and nodes location-aware in Internet of Things
XIAO Zhu,WANG Dong,LI RenFa,YI KeChu.Localization and nodes location-aware in Internet of Things[J].Scientia Sinica Techologica,2013(10):1265-1287.
Authors:XIAO Zhu  WANG Dong  LI RenFa  YI KeChu
Institution:1 College of Information Science and Engineering, Hunan University, Changsha 410082, China; 2 State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China)
Abstract:Internet of Things(IOT) has gained wide attention in recent years. As an emerging research area,IOT is regarded as an extension of information network to the real world. IOT turns out to be a crucial growthpoint in the economic feld of China and will play a key role both in the future scientifc innovation and social progress. The location of things nodes is one of the signifcant features that refect the status of IOT system.Furthermore, nodes' location has a major relevancy with information collecting and related information exchange.In this paper, we focus on the key technologies on the location-awareness for things nodes in IOT. We introduce localization theory and approaches, which cover the range-based and range-free methods, network cooperative localization and multi-sensor location-aware issues. We ofer an overview for nodes location-awareness by taking various aspects into account, such as network layouts, application scenarios and localization requirements. Finally,we conclude the current challenges and future research trends.
Keywords:Internet of Things  location awareness  position measurement  range-base  range-free  cooperative  wireless sensor networks  data fusion
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