Target Tracking with Pairwise Uncertainty in Wireless Sensor Networks: Qualitatively and Quantitatively

Ubiquitous uncertainty has great impacts on target tracking accuracy in wireless sensor networks (WSNs). This paper focuses on the uncertainty of pair wise sensor nodes, and analyzes it on unreliable samplings of sensors as well as the uncertain relationship between location points and expected sensing results, qualitatively and quantitatively. The sampling vector, which reflects sensing information, is constructed by multiple grouping samplings, while the tracking area can be divided into patches which are assigned to specific signature vectors. Two target tracking strategies are proposed by matching the two vectors, from the qualitative and quantitative aspect, respectively. Results show that both methods can achieve high tracking reliability and satisfy tracking accuracy and robustness for the uncertainty caused by in-the-field factors.