Resilient Asymptotic Consensus in Robust Networks

This paper addresses the problem of resilient in-network consensus in the presence of misbehaving nodes. Secure and fault-tolerant consensus algorithms typically assume knowledge of nonlocal information; however, this assumption is not suitable for large-scale dynamic networks. To remedy this, we fo...

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Veröffentlicht in:	IEEE journal on selected areas in communications 2013-04, Vol.31 (4), p.766-781
Hauptverfasser:	LeBlanc, H. J., Haotian Zhang, Koutsoukos, X., Sundaram, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adversary Algorithm design and analysis Approximation algorithms Byzantine Consensus Distributed Algorithms In-Network Computation Knowledge engineering Network topology Resilience Robot sensing systems Robust Networks Robustness
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