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The data gathering is a fundamental operation in wireless sensor networks. Among approaches of the data gathering, the compressive data gathering (CDG) is an effective solution, which exploits the spatiotemporal correlation of raw sensory data. However, in the multi-attribute scenario, the performance of CDG decreases in every attribute's capacity because more measurements are on demand. In this paper,...
In our previous work, a node self-localization algorithm based on virtual central node (VCN) for wireless sensor network (WSN) is proposed. This method is adapted to WSN that anchor nodes present a uniform distribution in three dimensional spaces. During the localization process, by deducing a 3D special node, which is called virtual central node, unknown nodes can compute their own positions automatically...
Due to uncertainties in target motion and limited sensing regions of sensors, collaborative target tracking in wireless sensor networks (WSNs) suffers from low tracking accuracy and lack of reliability when a target cannot be detected by a scheduled sensor. Generally, actuating multiple sensors can achieve better tracking performance but with high energy consumption. Tracking accuracy, reliability,...
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