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Energy-efficiency and location accuracy are two important performance metrics for indoor localization systems. However, typical indoor localization schemes based on WLAN cut gravely down smart device lifetime due to large energy consumption of scanning around wireless access points. In this paper, for the purpose of decreasing the amount of energy consumption while guaranteeing localization accuracy,...
In wireless sensor networks, hierarchical clustering schemes have been widely used to enhance the quality of service. However, in mobile wireless sensor networks, node mobility dynamically influences the topology of the clustered network, thus affects the optimal cluster performance such as compactness and separation of clusters. To eliminate the influence of node mobility, a novel adaptive distributed...
Fingerprint matching is adopted by a large family of indoor localization schemes, where collecting fingerprints is inevitable but all consuming. Recent studies show that the crowdsourcing scheme could be utilized to perform fingerprints collecting with desirable performance price ratio; however, since the fingerprints are collected from various mobile devices with crowdsourcing, it is difficult to...
Extraction and tracking of moving objects in video is desired for many real-time applications such as motion capture and surveillance, while it remains a great challenge. In this paper, an efficient algorithm for boundary tracking of moving objects in video has been proposed, based on motion prediction and directional edge matching. Unlike traditional tracking methods based on clustering, the proposed...
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