A Mechanism for Continuous Object Boundary Region Detection and Prediction in Hybrid WSN
Yaqiang Zhang, Xuefang Yi, Zhangbing Zhou, Lei Shu · 2018
This article proposes a novel mechanism for continuous object boundary region detection. Different from others work, we work on a fog computing environment where a few sensor nodes are deployed. This means that sensing holes may exist in network regions. Based on sensory data, we interpolate on network region and find a predicted object boundary line. To cover sensing holes and detect the real boundary, mobile sensors are adopted to traverse the selected stops on boundary line. Last sensory data gathered by mobile sensors help to draw a more precise boundary area. Experimental evaluation shows that the proposed technique can detect a precise object boundary region timely and sensor nodes can work in an energy-efficient manner.