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Optimal distributed estimation algorithms are usually not practical for wireless sensor networks (WSNs). This is because, in a general setup, these algorithms have high computational and data communication costs. Thus, sub-optimal algorithms that use quantized data and are based on linear and Gaussian approximations have been proposed in the literature. Such approximations are not always applicable...
Data communication in wireless sensor networks (WSNs) exhibits distinctive characteristics. Routing in WSNs still relies on simple variations of traditional distance vector or link state based protocols, thus suffering low throughput and less robustness. Drawing intuitions from the Brownian motions where localized momentum exchanges enable global energy diffusion, we propose an innovative routing...
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