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Abstract:
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One of the most challenging issues facing vehicular networks lies in the design of an
efficient MAC protocol due to mobile nature of nodes, delay constraints for safety applications and interference. In this thesis, I propose an efficient Multichannel QoS Cognitive MAC (MQOG). MQOG assesses the quality of channel prior to transmission employing dynamic channel allocation and negotiation algorithms to achieve significant increase in channel reliability,
throughput and delay constraints while simultaneously addressing Quality of Service.
The uniqueness of MQOG lies in making use of the free unlicensed bands. To consider
fair effective sharing of resources I propose a Mobility Based Dynamic Transmit Opportunity
(MoByToP) while modifying the 802.11e TXOP (Transmit Opportunity). The proposed protocols were implemented in OMNET++ 4.1, and extensive experiments demonstrated a faster and more efficient reception of safety messages compared to existing VANet MAC Protocols. Finally, improvements in delay, packet delivery ratios and throughput were noticed. |
