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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhipu Jin Murray, R.M. |
| Copyright Year | 2007 |
| Description | Author affiliation: California Univ., Los Angeles (Zhipu Jin) |
| Abstract | One of the main performance issues for consensus protocols is the convergence speed. In this paper, we focus on the convergence behavior of discrete-time consensus protocols over large-scale sensor networks with uniformly random deployment, which are modelled as Poisson random graphs. Instead of using the random rewiring procedure, we introduce a deterministic principle to locate certain "chosen nodes" in the network and add "virtual" shortcuts among them so that the number of iterations to achieve average consensus drops dramatically. Simulation results are presented to verify the efficiency of this approach. Moreover, a random consensus protocol is proposed, in which virtual shortcuts are implemented by random routes. |
| Starting Page | 4227 |
| Ending Page | 4232 |
| File Size | 1355108 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424414970 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.2007.4434765 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Protocols Large-scale systems Convergence Network topology Lattices Intelligent sensors Acoustic sensors Peer to peer computing Control systems USA Councils sensor network Random consensus protocol small-world effect distributed algorithms convergence speed random deployment |
| Content Type | Text |
| Resource Type | Article |
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