Interval-based localization using sensors mobility and fingerprints in decentralized sensor networks

This paper is focused on the decentralized localization problem of mobile sensors in wireless sensor networks. Based on a combined localization technique, it uses accelerometer, gyroscope and fingerprinting information to solve the positioning issue. Using the sensors mobility, the proposed method computes first estimates of sensors positions. It then proceeds to a decentralized localization scheme, where the network is divided to different zones. RSSIs fingerprints are jointly used with mobility information in order to compute position estimates. Final position estimates are obtained by means of interval analysis where all uncertainties are considered throughout the estimation process.