Abstract
In this paper, we study the problem of distributed hypothesis testing in cooperative networks of agents. All agents are trying to reach consensus on the state of nature by their private signals and the binary actions of their neighbors. This is a challenging problem because the exchanged information of the agents is highly compressed. We propose a gossip-type method where every agent's decision converges in probability to the optimal decision held by a fictitious fusion center. We prove the asymptotical property of the proposed method and provide simulation results that demonstrate the communication cost and convergence time of the method.
Original language | English (US) |
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Title of host publication | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings |
Pages | 3297-3300 |
Number of pages | 4 |
DOIs | |
State | Published - Oct 23 2012 |
Event | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan Duration: Mar 25 2012 → Mar 30 2012 |
Other
Other | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 |
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Country/Territory | Japan |
City | Kyoto |
Period | 3/25/12 → 3/30/12 |
Keywords
- Binary consensus
- distributed detection
- gossip algorithm
- multiagent system