articleProceedings of the IEEEAug 10, 2010GREEN OA

Gossip Algorithms for Distributed Signal Processing

AGAlexandros G. DimakisSKSoummya KarJMJosé M. F. MouraMGMichael G. RabbatASAnna Scaglione

University of Southern California · Princeton University · +2 more institutions

Indexed inarxivcrossref

Abstract

Gossip algorithms are attractive for in-network processing in sensor networks because they do not require any specialized routing, there is no bottleneck or single point of failure, and they are robust to unreliable wireless network conditions. Recently, there has been a surge of activity in the computer science, control, signal processing, and information theory communities, developing faster and more robust gossip algorithms and deriving theoretical performance guarantees. This paper presents an overview of recent work in the area. We describe convergence rate results, which are related to the number of transmitted messages and thus the amount of energy consumed in the network for gossiping. We discuss…

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724
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Authors

5
  • AG
    Alexandros G. DimakisCorresponding

    University of Southern California

  • SK
    Soummya Kar

    Princeton University, Carnegie Mellon University

  • JM
    José M. F. Moura

    Carnegie Mellon University

  • MG
    Michael G. Rabbat

    McGill University

  • AS
    Anna Scaglione

Topics & keywords

Keywords
  • Gossip
  • Gossip protocol
  • Bottleneck
  • Signal processing
  • Wireless sensor network
  • Distributed algorithm
  • Information processing
  • Wireless network
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