Convergence Analysis for Regular Wireless Consensus Networks
Abstract
Average consensus algorithms can be implemented over wireless sensor networks (WSN), where global statistics can be computed using the communications among sensor nodes locally. Simple execution, robustness to global topology changes due to frequent node failures, and underlying distributed philosophy have made consensus algorithms more suitable to WSNs. Since these algorithms are iterative in nature, it is very difficult to predict the...
Paper Details
Title
Convergence Analysis for Regular Wireless Consensus Networks
Published Date
Aug 1, 2015
Journal
Volume
15
Issue
8
Pages
4522 - 4531
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