Gossip Algorithms for Distributed Signal Processing
University of Southern California · Princeton University · +2 more institutions
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…
Citation impact
- FWCI
- 56.65
- Percentile
- 100%
- References
- 116
Authors
5- AGAlexandros G. DimakisCorresponding
University of Southern California
- SKSoummya Kar
Princeton University, Carnegie Mellon University
- JMJosé M. F. Moura
Carnegie Mellon University
- MGMichael G. Rabbat
McGill University
- ASAnna Scaglione
Topics & keywords
- Gossip
- Gossip protocol
- Bottleneck
- Signal processing
- Wireless sensor network
- Distributed algorithm
- Information processing
- Wireless network