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In recent years a flurry of research activity has produced many suggested schemes for clustering wireless sensor networks, but no hard numbers for real-world implementations. This lack of guidance for developers makes it very difficult to effectively and confidently build working networks. This paper partially addresses these concerns by deriving minimal timing bounds on the clustering process in...
In wireless sensor networks (WSNs), hierarchical network structures have the advantage of providing scalable and resource efficient solutions. Thus, finding an efficient way to generate clusters is an important topic in WSNs. To achieve this goal, this paper adapts the well-understood hierarchical agglomerative clustering (HAC) algorithm by proposing a distributed HAC (DHAC) algorithm. DHAC provides...
In this paper, we propose a novel clustering approach for long-lived wireless sensor networks. We use genetic algorithm to partition the adjacent nodes which will sense similar data into one cluster. With similar data aggregation in the clusters, the amount of the data transmission in the network can be effectively reduced. Simulation results demonstrate that our proposed approach is effective in...
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