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This paper proposed a new fault diagnosis method of node in WSN based on the interval-numbers rough neural network. Firstly, this method established the most simple decision-making table of the fault diagnosis by the improved discriminate matrix, then applied rough decision-making analysis method constructed a interval-value information decision-making system of WSN node, and constructed the rough...
To accurately diagnose node fault in wireless sensor network (WSN) can improve long-distance service of nodes in WSN, assure reliability of information transfer and prolong lifetime of WSN. In this paper, a novel method of fault diagnosis for node of WSN was brought forward. First, attribute reduction for decision-making of fault diagnosis could be founded based discernibility matrix in rough set...
The problem of computing such minimal active sensor which can cover the target region completely is NP-hard. This paper designs a novel method, in which the detection area is divided into lots of virtual grid. So area coverage can approximately be considered as point coverage. Then the problem of area coverage turns into set covering problem. An improved ant colony algorithm is proposed for the minimal...
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