Article: Ultrafast consensus via predictive mechanisms
| Title | Ultrafast consensus via predictive mechanisms | ||||||
|---|---|---|---|---|---|---|---|
| Authors | Zhang, HT3 4 Zhiqiang Chen, M4 5 Zhou, T1 2 Stan, GB4 | ||||||
| Issue Date | 2008 | ||||||
| Publisher | Institute of Physics Publishing Ltd.. The Journal's web site is located at http://iopscience.iop.org/0295-5075 | ||||||
| Citation | Epl, 2008, v. 83 n. 4 [How to Cite?] DOI: http://dx.doi.org/10.1209/0295-5075/83/40003 | ||||||
| Abstract | An important natural phenomenon surfaces that ultrafast consensus can be achieved by introducing predictive mechanisms. By predicting the dynamics of a network several steps ahead and using this information in the consensus protocol, it is shown that, without changing the topology of the network, drastic improvements can be achieved in terms of the speed of convergence towards consensus and of the feasible range of sampling periods, compared with the routine consensus protocol. In natural science, this study provides an evidence for the idea that some predictive mechanisms exist in widely-spread biological swarms, flocks, and schools. From the industrial engineering point of view, inclusion of an efficient predictive mechanism allows for a significant increase in the consensus speed and a reduction of the required communication energy. © 2008 Europhysics Letters Association. | ||||||
| ISSN | 0295-5075 2011 Impact Factor: 2.171 2011 SCImago Journal Rankings: 0.098 | ||||||
| DOI | http://dx.doi.org/10.1209/0295-5075/83/40003 | ||||||
| ISI Accession Number ID | WOS:000259025900003
Funding Information: Thanks are due to Prof. Guanrong Chen ( City University of Hong Kong) and Prof. Jan Maciejowski (Cambridge University), who offered many valuable suggestions, and the reviewers for improving the quality of this paper. H-TZ acknowledges the support of NNSFC under grant No. 60704041. TZ acknowledges the support of NNSFC under grant No. 10635040. G-BS acknowledges the support of the EPSRC under grant No. EP/E02761X/1. | ||||||
| References | References in Scopus |
| dc.contributor.author | Zhang, HT | ||||||
|---|---|---|---|---|---|---|---|
| dc.contributor.author | Zhiqiang Chen, M | ||||||
| dc.contributor.author | Zhou, T | ||||||
| dc.contributor.author | Stan, GB | ||||||
| dc.date.accessioned | 2012-08-08T08:45:21Z | ||||||
| dc.date.available | 2012-08-08T08:45:21Z | ||||||
| dc.date.issued | 2008 | ||||||
| dc.description.abstract | An important natural phenomenon surfaces that ultrafast consensus can be achieved by introducing predictive mechanisms. By predicting the dynamics of a network several steps ahead and using this information in the consensus protocol, it is shown that, without changing the topology of the network, drastic improvements can be achieved in terms of the speed of convergence towards consensus and of the feasible range of sampling periods, compared with the routine consensus protocol. In natural science, this study provides an evidence for the idea that some predictive mechanisms exist in widely-spread biological swarms, flocks, and schools. From the industrial engineering point of view, inclusion of an efficient predictive mechanism allows for a significant increase in the consensus speed and a reduction of the required communication energy. © 2008 Europhysics Letters Association. | ||||||
| dc.description.nature | Link_to_subscribed_fulltext | ||||||
| dc.identifier.citation | Epl, 2008, v. 83 n. 4 [How to Cite?] DOI: http://dx.doi.org/10.1209/0295-5075/83/40003 | ||||||
| dc.identifier.doi | http://dx.doi.org/10.1209/0295-5075/83/40003 | ||||||
| dc.identifier.isi | WOS:000259025900003
Funding Information: Thanks are due to Prof. Guanrong Chen ( City University of Hong Kong) and Prof. Jan Maciejowski (Cambridge University), who offered many valuable suggestions, and the reviewers for improving the quality of this paper. H-TZ acknowledges the support of NNSFC under grant No. 60704041. TZ acknowledges the support of NNSFC under grant No. 10635040. G-BS acknowledges the support of the EPSRC under grant No. EP/E02761X/1. | ||||||
| dc.identifier.issn | 0295-5075 2011 Impact Factor: 2.171 2011 SCImago Journal Rankings: 0.098 | ||||||
| dc.identifier.issue | 4 | ||||||
| dc.identifier.scopus | eid_2-s2.0-79051469236 | ||||||
| dc.identifier.uri | http://hdl.handle.net/10722/157104 | ||||||
| dc.identifier.volume | 83 | ||||||
| dc.language | eng | ||||||
| dc.publisher | Institute of Physics Publishing Ltd.. The Journal's web site is located at http://iopscience.iop.org/0295-5075 | ||||||
| dc.publisher.place | United Kingdom | ||||||
| dc.relation.ispartof | EPL | ||||||
| dc.relation.references | References in Scopus | ||||||
| dc.title | Ultrafast consensus via predictive mechanisms | ||||||
| dc.type | Article |
Author Affiliations
- University of Science and Technology of China
- Universite de Fribourg
- Huazhong University of Science and Technology
- University of Cambridge
- University of Leicester