Reliable cooperative communication in cognitive vehicular networks for intelligent transportation systems

Rapid intelligent transportation systems (ITS) innovations need a reliable MAC protocol to enable massive nonsafety message delivery and high-priority safety broadcasts. The significant rise in spectrum need is regulated by collaboration in cognitive vehicular networks (CVNs). For QoS improvement, a reliable cooperative MAC for CVNs (CCVN-MAC) is presented in this study. CCVN allows vehicles to collaborate and share channel status information, allowing for proactive channel switching in case of a legacy user (LU) appearance. To enable transmission mode selection, additional control signals are included. Using the suggested cooperative makeup technique, the helper nodes resend failed transmission. A Markov chain represents the protocol, and NS-2 is used to evaluate it for several performance characteristics. Compared with conventional MAC techniques, the proposed protocol depicts improved performance, including depreciation of 70% in average latency and an increment of 42.4% in throughput. This paper introduces a cooperative MAC protocol called CCVN-MAC for connected vehicle networks (CVN), facilitating efficient transmission of safety and nonsafety messages. It employs proactive LU proclamation and reactive collaboration techniques, optimising relay node selection and communication modes. The protocol demonstrates superior performance compared with CRB-MAC and IEEE 802.11p, with a 70% reduction in average latency and a 42.4% increase in throughput, making it a promising solution for CVNs.image