Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments. AlShamaa, D., Chehade, F., & Honeine, P. In Proc. 25rd European Conference on Signal Processing (EUSIPCO), pages 2300-2304, Rome, Italy, 3 - 7 September, 2018.
Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments [link]Link  Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments [pdf]Paper  doi  abstract   bibtex   
Localization of sensors has become an essential issue in wireless networks. This paper presents a decentralized approach to localize sensors in indoor environments. The targeted area is partitioned into several sectors, each of which having a local calculator capable of emitting, receiving, and processing data. Each calculator runs a local localization algorithm, by investigating the belief functions theory for decision fusion of radio fingerprints, to estimate the sensors zones. The fusion of all calculators estimates, is combined with a mobility model to yield a final zone decision. The decentralized algorithm is described and evaluated against the state-of-the-art. Experimental results show the effectiveness of the proposed method in terms of localization accuracy, processing time, and robustness.

Downloads: 0