Passive sensor based dynamic object association method in wireless sensor networks

This paper proposes and presents a novel algorithm for dynamic data association in wireless sensor networks. The sensor node incorporates RFID reader and acoustic sensor where the signals are fused for tracking and associating multiple objects. The RFID tag is used for object identification and acoustic sensor is used for estimating object movement. The threshold based association algorithm is proposed and its performance is analyzed. The association performance under single node coverage and multiple node coverage is evaluated as a function of sampling time and the dynamic behavior. The algorithm minimizes the failed association and provides association recovery.