Ali Shah, Syed Adeel and Ahmed, Ejaz and Xia, Feng and Karim, Ahmad and Qureshi, Muhammad Ahsan and Ali, Ihsan and Noor, Rafidah Md (2018) Coverage Differentiation Based Adaptive Tx-Power for Congestion and Awareness Control in VANETs. Mobile Networks and Applications, 23 (5). pp. 1194-1205. ISSN 1383-469X, DOI https://doi.org/10.1007/s11036-016-0777-6.
Full text not available from this repository.Abstract
The use of Information and Communication Technology (ICT) as a copilot for the drivers has a potential to improve traffic safety and efficiency. A key challenge in integrating ICT in vehicular networks is to provide the mechanisms for the delivery of safety messages called beacons. In particular, finding the trade-off between providing sufficient coverage and controlling channel congestion remains the focus in the stipulated amendments for safety message transmissions. In this paper, we handle this trade-off by proposing a Multi-metric Power Control (MPC) approach, which uses application requirements and channel states to determine a transmit power for safety messages. The MPC gives a best-effort approach to satisfy the coverage range requirement of a message as specified by the application. Moreover, the concept distinguishes among message types to provide coverage differentiation. We show that the best-effort approach of providing coverage for different messages can control congestion and as a result improve awareness by minimizing beacon collisions. The performance analysis of MPC using discrete event simulation confirms its practicality.
| Item Type: | Article |
|---|---|
| Funders: | High Impact Research (HIR) University of Malaya, Malaysia |
| Uncontrolled Keywords: | Adaptive beaconing; Adaptive transmit power; Congestion and awareness control; MPC; VANETs; Vehicular networks |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 25 Sep 2019 06:34 |
| Last Modified: | 25 Sep 2019 06:34 |
| URI: | http://eprints.um.edu.my/id/eprint/22553 |
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