Electronics and Communications in Japan (Part I Communications) · 2007 · 18 citations · 9 references
EngineeringElectrical EngineeringFacility LocationStochastic ModelingWireless CommunicationsIndoor LocalizationSensor NetworksWireless NetworksWireless Sensor NetworksIeee 802.15.4Location EstimationNode LocalizationPositionPosition EstimationWireless LocalizationWireless Sensor Network LocalizationWireless Signal Propagation
Abstract This paper considers the sensor network based on IEEE 802.15.4, and proposes a method in which a probabilistic model of wireless propagation characteristics in a real environment is constructed, and the node position is estimated by maximum‐likelihood estimation using the model. The performance of the proposed method is evaluated by simulation and position estimation experiments based on the probabilistic model obtained from the actual indoor measurement. It is shown that the proposed method is useful for indoor personnel location management. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 90(12): 62–72, 2007; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecja.20359
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Deborah Estrin, Ramesh Govindan, John Heidemann et al. · 1999 · 2.7K citations
Location in distributed ad-hoc wireless sensor networks
Chris Savarese, Jan M. Rabaey, Jan Beutel · 2002 · 694 citations