Sattari, Mohammad Reza Jabbarpour and Noor, Rafidah Md and Keshavarz, Hassan (2012) A taxonomy for congestion control algorithms in vehicular ad hoc networks. In: 2012 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT 2012), 12-14 July 2012, Bali, Indonesia.
Full text not available from this repository.Abstract
One of the main criteria in Vehicular Ad hoc Networks (VANETs) that has attracted the researchers' consideration is congestion control. Accordingly, many algorithms have been proposed to alleviate the congestion problem, although it is hard to find an appropriate algorithm for applications and safety messages among them. Safety messages encompass beacons and event-driven messages. Delay and reliability are essential requirements for event-driven messages. In crowded networks where beacon messages are broadcasted at a high number of frequencies by many vehicles, the Control Channel (CCH), which used for beacons sending, will be easily congested. On the other hand, to guarantee the reliability and timely delivery of event-driven messages, having a congestion free control channel is a necessity. Thus, consideration of this study is given to find a solution for the congestion problem in VANETs by taking a comprehensive look at the existent congestion control algorithms. In addition, the taxonomy for congestion control algorithms in VANETs is presented based on three classes, namely, proactive, reactive and hybrid. Finally, we have found the criteria in which fulfill prerequisite of a good congestion control algorithm.
Item Type: | Conference or Workshop Item (Paper) |
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Funders: | UNSPECIFIED |
Uncontrolled Keywords: | Vehicular Ad Hoc Network (VANET); congestion control; algorithm; taxonomy for congestion control algorithms |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology |
Depositing User: | Miss Nur Jannatul Adnin Ahmad Shafawi |
Date Deposited: | 13 Feb 2013 01:27 |
Last Modified: | 23 Oct 2018 05:03 |
URI: | http://eprints.um.edu.my/id/eprint/4812 |
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