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Wireless location is one of the core technologies of Wireless Sensor Network. In many applications, the accuracy of the location is the precondition of the useful of data information the node collected. Under the premise of cost limits, improving the accuracy of wireless sensor node position has crucial significance. After analyzing reasons of the location weakness of Dv-Distance algorithm due to...
Data gathering is one of the core algorithmic and theoretic problems in wireless sensor networks. In this paper, we propose a novel approach — Compressed Sparse Functions — to efficiently gather data through the use of highly sophisticated Compressive Sensing techniques. The idea of CSF is to gather a compressed version of a satisfying function (containing all the data) under a suitable function base,...
Many ad hoc network applications rely on nodes having accurate knowledge of their geographic locations. However, inherent in all localization systems is a degree of error in computed positions, which can compromise the accuracy and efficiency of location dependent applications and protocols. We propose a method in which nodes estimate the amount of error present in their derived positions with a certain...
In recent years, localization in a variety of Wireless Sensor Networks (WSNs) is a compelling but elusive goal. Several algorithms that use different methodologies have been proposed to achieve this goal. The performances of these algorithms depend on several factors, such as the sensor node placement, anchor deployment or network topology. In this paper, we propose a robust localization algorithm...
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