Localization in wireless sensor networks with known coordinate database

  • Authors:

  • Zhen Fang;Zhan Zhao;Xunxue Cui;Daoqu Geng;Lidong Du;Cheng Pang

  • Affiliations:

  • State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;New Star Research Institute of Applied Technology, Hefei, China;State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China

  • Venue:
  • EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
  • Year:
  • 2010

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Abstract

Geographic location of nodes is very useful for a sensor network. A novel and practical Radio Frequency (RF)-based localization algorithm called Kcdlocation has been presented for some specific sensor network topologies, such as the grid and linear types. The Kcdlocation algorithm is adapted to those wireless sensor networks deployed with known coordinate database. It examines the ordered sequence of neighboring unknown nodes relative to some anchor nodes so that they are ranked to compute the location of unknown nodes by wireless localization measurements. After the task of distinguishing neighboring unknown nodes is completed through the ranging technology, the correct position for each sensor node would be identified. The localization scalability and fault tolerant performance of this algorithm have been evaluated from the perspective of practicability. Its performances for the real circumstance are verified through different experiments with several RF channels and deployment parameters. The node localization accuracy of Kcdlocation in a 5 * 4 grid network reaches 100% in a flat open square.