ABSTRACT

Wireless Sensor Networks (WSNs) are widely used in applications like location monitoring, object tracking and decision making systems. Movement patterns of mobile sensor nodes play an important role in such systems. This paper is aimed at simultaneous localization of mobile nodes. This is done based on RSSIs (Received Signal Strength Indicators) with correlated in time measurement noises. We proposed a framework with two multi model auxiliary particle filters. The first one is with a noise augmented state vector while the second one is to implement noise decorrelation. The performance of the proposed framework is validated using a simulator and the empirical results revealed that our framework provides high localization accuracy.