Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function

By Alejandro Ribeiro, Georgios B. Giannakis. IEEE Transactions on Signal Processing, 2006

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Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals (2008, background): “An interesting twist on the previous example is when due to limited sensing capabilities the sensors produce a coarsely quantized version of [12], [17].”
Non-parametric distributed quantization-estimation using wireless sensor networks (2005, background): “2Omitted due to space considerations, proofs pertaining to claims in this work can be found in [9] point, consider an equispaced grid of thresholds with τk+1 − τk = τ = τmax, ∀k, such that τmax = 2T/(K + 1) < 2T/K.”
Distributed Kalman filtering based on consensus strategies (2008, background): “Most works focus on static estimation problems: [41] derives conditions under which one can reconstruct the global sufficient statistic from local sufficient statistics; [20] investigates how much information two sensors (say S1 and S2) have to transmit regarding their measurements (say y1 and y2) i”