This paper considers the problem of decentralized localization in wireless sensor networks (WSNs). 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 received signal strength indicator (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.
Decentralized localization using radio-fingerprints and accelerometer in WSNs
IEEE Transactions on Aerospace and Electronic Systems ; 51 , 1 ; 242-257
2015-01-01
1102308 byte
Article (Journal)
Electronic Resource
English