Decentralized localization using radio-fingerprints and accelerometer in WSNs
IEEE Transactions on Aerospace and Electronic Systems
This paper considers the problem of decentralized localization in wireless sensor networks. The problem is set by combining both radio-fingerprints and accelerometer information. It is then resolved in a decentralized manner where the surveillance area is divided into several zones, equipped with calculators. The proposed algorithm consists of computing first estimates using RSSI-fingerprints, then correcting them using accelerometer information leading to more accurate estimates. Computations are performed using the interval analysis and the Kalman filter in a simulated environment.