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In this paper, we firstly introduce the random geometric graph (RGG) as the model of wireless sensor networks (WSNs), and point out that the convergence rate of distributed synchronization algorithm in WSNs is depended on the second largest eigenvalue of the update matrix based on the network topology. Then we take three network structure entropies, which are degree distribution entropy, Wu entropy...
The study of the synchronization problems in wireless sensor networks (WSNs) is increasingly significant, researchers found that the topology of the network has an important impact on the convergence performance of the synchronization in WSNs. In this paper, we find that the WSNs can be described by RGGs, and the convergence rate of distributed synchronization algorithm depends on the second largest...
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