Abstract
Communications between the Internet of Vehicles in smart cities helps increase the awareness and safety among drivers. However, the channel congestion problem is considered as a key challenge for the communication networks due to continuing collection and exchange of traffic information in dense environments. The channel congestion problem degrades the efficiency and reliability of the ad hoc network. Therefore, the adaptation of the data rate and power control is considered as one of the effective solutions to mitigate channel congestion. This paper develops a new hybrid game transmission rate and power channel congestion control approach on the Internet of Vehicle networks where the nodes play as greedy opponents demanding high information rates with the maximum power level. Furthermore, the existence of a Nash equilibrium, which is the optimal information rate and power transmission for every vehicle, is established. Simulation results demonstrate that the proposed approach enhances the network performance by an overall percentage of 42.27%, 43.94% and 47.66% regarding of channel busy time, messages loss and data collision as compared to others. This increases the awareness and performance of the vehicular communication network.
Highlights
Smart cities have been constructing to improve and facilitate the mobility of vehicles and passengers and provide mobile sources for information sharing
The Internet of Vehicles (IoV) is a subset of the Internet of Things (IoT) [1], that prognosticates communication among vehicles and other sensors deployed on the roadside, supporting the traffic data sharing to improve transportation convenience and safety
Once the density of vehicles increase in the simulation scenario, the Joint Power Rate Control (JPRC) and Hybrid Power Contention Window (HPCW) show unstable adaptation of data rate, contention window or power transmission, as in Figure 4, when both decrease the objective parameters that lead to a sharp decrement in the channel busy time
Summary
Smart cities have been constructing to improve and facilitate the mobility of vehicles and passengers and provide mobile sources for information sharing. Adapting the power level and rate of the messages will help to reduce the channel congestion, delay time to receive the traffic information and increases data delivery ratio This improves smart cities awareness about traffic state conditions. The proposed approach contributes to the development of a novel channel congestion strategy which can enhance the network communication performance and increase the reliability This means the awareness of smart cities will be increased and the traffic data will be transferred promptly to the drivers. The proposed approach can alleviate congestion on the wireless channel by adjusting the node information frequency and power level by considering the vehicles' sending rate, queueing waiting time, vehicles mobility, power level and distance priorities These parameters are included in the profit function for each node to provide the desired fairness, a stable transmission protocol and channel overload free.
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