Relative location estimation in wireless sensor networks

نویسندگان

  • Neal Patwari
  • Alfred O. Hero
  • Matt Perkins
  • Neiyer S. Correal
  • Robert J. O'Dea
چکیده

Self-configuration in wireless sensor networks is a general class of estimation problems that we study via the Cramér–Rao bound (CRB). Specifically, we consider sensor location estimation when sensors measure received signal strength (RSS) or time-of-arrival (TOA) between themselves and neighboring sensors. A small fraction of sensors in the network have a known location, whereas the remaining locations must be estimated. We derive CRBs and maximum-likelihood estimators (MLEs) under Gaussian and log-normal models for the TOA and RSS measurements, respectively. An extensive TOA and RSS measurement campaign in an indoor office area illustrates MLE performance. Finally, relative location estimation algorithms are implemented in a wireless sensor network testbed and deployed in indoor and outdoor environments. The measurements and testbed experiments demonstrate 1-m RMS location errors using TOA, and 1to 2-m RMS location errors using RSS.

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عنوان ژورنال:
  • IEEE Trans. Signal Processing

دوره 51  شماره 

صفحات  -

تاریخ انتشار 2003