A distributed self-localization algorithm for wireless sensor networks

The accurate localization is one of the key technologies of sensor networks applications. In this paper, we propose an accurate, distributed localization method which used measurement distances obtained by time-difference of the radio signal and sound wave (TDOA). The proposed method is based on trilateration, and each node adaptively chooses a neighborhood of sensors updates its position estimate with trilateration and then passes this update to neighboring sensors. It has been proved that the proposed method is more robust and accurate to localize node than previous proposals and it can achieve comparable results using many fewer anchor nodes than previous methods.