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An improved discrete probabilistic localization method (I-DPLM) in Wireless Sensor Networks

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2 Author(s)
Babak Mamandipoor ; Electrical Engineering Department, Iran University of Science and Technology, Tehran, Iran ; Hossein Shokri

Localization of sensor nodes has become a fundamental requirement for many applications over Wireless Sensor Networks (WSNs). In this paper, we propose a range-free approach based on the Received Signal Strength (RSS) changes. A discrete and probabilistic localization method is offered to localize a moving beacon relative to sensor nodes. In this method we came to a more reliable and accurate result without increasing the number of sectors. We achieved a considerable improvement in localization reliability by defining the primary and secondary sectors and utilizing a Kalman approach for making decisions. The decision making process is based on the allocated probabilities given to each of these sectors. Simulation results demonstrate an average accuracy of 96.3%.

Published in:

Networked Sensing Systems (INSS), 2010 Seventh International Conference on

Date of Conference:

15-18 June 2010