Paper Info
Title
Energy-saving gossip algorithm for compressed sensing in multi-agent systems
Abstract
In this paper, we present a new recovery algorithm for innetwork compressed sensing from measurements acquired in multi-agent systems. Each agent has to recover a common signal taking advantage of local communication and simple computations. Such distributed problem typically incurs a high energy cost due to inter-node communications. In this paper we propose an iterative distributed algorithm to address this problem, featuring pairwise gossip communications and updates. We propose some theoretical results on its dynamics and numerical comparisons with the most recent approaches proposed in literature. The performance turns out to be competitive in terms of reconstruction accuracy, complexity, and energy consumption required for convergence.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854566
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
compressed sensing,distributed algorithms,energy consumption,iterative methods,multi-agent systems,signal reconstruction,compressed sensing,energy consumption,energy-saving gossip algorithm,inter-node communications,iterative distributed algorithm,multi-agent systems,pairwise gossip communications,recovery algorithm
Convergence (routing),Pairwise comparison,Mathematical optimization,Computer science,Gossip,Multi-agent system,Distributed algorithm,Energy consumption,Compressed sensing,Distributed computing,Computation
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.36
References 
Authors
14
3
Name
Order
Citations
PageRank
Chiara Ravazzi111413.23
Sophie M. Fosson2448.96
Enrico Magli31319114.81