Performance Evaluation of Successful Transmission Probability and Throughput for DSRC MAC Protocol for Next Generation Connected Vehicles Network

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The Internet of Things (IoT) has transformed the transportation system into an Intelligent Transportation System (ITS) (ITS). The Internet of Vehicles (IoV) is one such use of IoT, in which each vehicle is viewed as a networked entity. IoV is a combination of IoT and IoV. VANETS, autonomous vehicles, and connected vehicles are the building components of the Internet of Vehicles. Connected cars are VANETs in their entirety, with two types of communication: V2V and V2I. In the field of transportation, connected vehicles play a critical role in guaranteeing road safety and increasing transportation efficiency. Vehicles are connected in connected vehicles in two ways: one utilizing wireless LAN (WLAN) to share internet with other vehicles within a 1km coverage radius, and the other using dedicated short range communications (DSRC). The project's scope is confined to V2V. The messages were delivered in one hop communication in DSRC to warn nearby motorists about potential road hazards. IEEE has adopted DSRC wireless communication technology to enable safety and non-safety applications in vehicular networks. The DSRC standard distributes the bandwidth into seven channels to support these two types of applications. There are six service channels and one control channel (CCH) (SCH). The control channel is used by safety applications, while the service channel is used by non-safety applications. The time intervals for safety and non-safety applications are 50 milliseconds apiece, with a 4 millisecond guardband. Vehicles should visit CCH every 100ms to send and receive status messages, according to the DSRC standard. It is critical that cars transmit signals to neighboring vehicles successfully and within a predetermined time frame, as well as solving the problem of hidden terminals, which is critical in dynamic and mobile vehicular environments. In wireless networks, hidden terminal difficulties are the most common source of collisions, especially when traffic is intense and crowded. However, present approaches have overhead issues, and the solutions proposed for the hidden terminal problem are not adequate for fully dispersed broadcasting applications like DSRC safety. As a result, efficient medium access for disseminating safety messages remains a serious difficulty. To optimize the control channel and eliminate the hidden terminal problem, the traffic density is first calculated using a markov chain model approach in the proposed study. The vehicles in each hop will broadcast its information to its neighbouring vehicles to keep updated, in order to avoid any over heads the research work is limited to 3-hop. Further the vehicles can switch to service channels under high priority in emergency situations when found control channel is busy. In this way, hidden terminal problem can be avoided and control channel can be utilized effectively. As a preliminary approach, we have investigated the performance of our proposed work considering the impact of successful transmission probability, and throughput with respect to number of nodes, and load.