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CSMA algorithms based on Gibbs sampling can achieve throughput optimality if appropriate attempt rates are employed. However, the problem of computing these attempt rates is NP-hard. Inspired by the well-known Kikuchi approximation, we propose a simple distributed algorithm, which obtains closed form estimates for the attempt rates. We also prove that our algorithm is exact for a class of graphs,...
We analyze the effect of interference on the convergence rate of average consensus algorithms, which iteratively compute the measurement average by message passing among nodes. It is usually assumed that these algorithms converge faster with a greater exchange of information (i.e., by increased network connectivity) in every iteration. However, when interference is taken into account, it is no longer...
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