Zhang, GQ;
Zhou, S;
Wang, D;
Yan, G;
Zhang, GQ;
(2011)
Enhancing network transmission capacity by efficiently allocating node capability.
Physica A: Statistical Mechanics and its Applications
, 390
(2)
387 - 391.
10.1016/j.physa.2010.09.022.
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Abstract
A network s transmission capacity is the maximal rate of traffic inflow that the network can handle without causing congestion Here we study how to enhance this quantity by allocating resource to individual nodes while preserving the total amount of the resource available We propose a practical and effective scheme which redistributes node capability based on the local knowledge of node connectivity We show that our scheme enhances the transmission capacity of networks with heterogeneous structures by up to two orders of magnitude.
| Type: | Article |
|---|---|
| Title: | Enhancing network transmission capacity by efficiently allocating node capability |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.physa.2010.09.022 |
| Publisher version: | http://dx.doi.org/10.1016/j.physa.2010.09.022 |
| Language: | English |
| Additional information: | Copyright © 2010. This manuscript version is published under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International licence (CC BY-NC-ND 4.0). This licence allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licences are available at http://creativecommons.org/licenses/by/4.0. Access may be initially restricted by the publisher. |
| Keywords: | Network; Transmission capacity; Traffic-flow simulation; Network modelling; Power law; Network topology; Betweenness |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1298366 |
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