Mobile ad hoc networks include VANETs (vehicular ad hoc networks) characterized to enhance vehicles’ wireless connectivity. In intelligent transportation systems (ITS), information can be exchanged over long distances as long… Click to show full abstract
Mobile ad hoc networks include VANETs (vehicular ad hoc networks) characterized to enhance vehicles’ wireless connectivity. In intelligent transportation systems (ITS), information can be exchanged over long distances as long as a means of retransmission exists. ITS uses the broadcasting technique for message transmission, and the network should have characteristics to overwhelm duplicate packets. Because of broadcasting, there is a higher chance of packet loss because of bandwidth utilization by the messages, which is a severe issue. Delay time-aware controlled rebroadcasting (DTCR) routing protocol is presented in this research study which inherits hybrid probabilistic and parametric broadcasting mechanisms. The algorithm is characterized to analyze the probabilistic-temporal characteristics of traffic applications by using Omnet++, SUMO, and Veins simulation tools. The optimal TTL rate is evaluated by considering the density and location of nodes with the network topology. SINR performance metric is used for the control of message broadcasting. The transmitted messages are stored in the transmission queue for a particular time based on latency. Once the timer is expired, the vehicle decides whether to retransmit the packet or not based on the duplicates found or not. The proposed mechanism improves the maximum successful transmission of messages while avoiding duplications for the stability of road traffic safety against failures. Analytical and simulation results demonstrate that DTCR offers an improvement on system performance characteristics in terms of throughput, delivery ratio, and delay time when compared with other routing protocols. These results lead to improve the average network throughput by 1%, 22%, and 30% as compared with DABFS, LOA, and NBP, respectively.
               
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