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Localization with Incompletely Paired Data in Complex Wireless Sensor Network

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3 Author(s)
Jingjing Gu ; Dept. of Comput. Sci. & Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China ; Songcan Chen ; Tingkai Sun

Localizing sensors based on Received Signal Strength Indicator (RSSI) localization technique in wireless sensor network can be treated as building a mapping between signal and physical spaces, and the mapping is established from a set of given paired signal strengths and physical location data of known sensors. However, in some realistic scenarios, such a set of completely-paired sensor data is not always accessible, which brings a big challenge for localization of sensors. The localization research in such a scenario is currently almost ignored. In this paper, we develop a novel algorithm to tackle this problem in localization with paired as well as many unpaired data by adapting our previously-proposed Locality Correlation Analysis model; the new algorithm is named as Partially Paired Locality Correlation Analysis (PPLCA). Experimental results in both outdoor and indoor environments do show the feasibility and effectiveness of the proposed algorithm.

Published in:

IEEE Transactions on Wireless Communications  (Volume:10 ,  Issue: 9 )