Selection of Suitable Routing Protocols for Coming Generation Ad-Hoc Network in Traffic Management

Abstract

Due to the drastic increase in the number of vehicles over the years, the requirement of traffic management has also increased at the same rate. Even though there is a huge development in VANET and MANET but still there is need of proper traffic management. VANET could give us a large number of benefits and it has been envisioned as the future technology by automotive industries. There is a requirement of a proper traffic management amongst the vehicles so that they should be able to properly communicate. Vehicles must also provide the information to the roadside units in a timely manner. Communication between the vehicles is processed through routing protocols. There are various types of routing protocols in MANET system and to determine the effective routing protocol is a difficult task. In the current working scenarios routing protocol uses IEEE802.11p standard for transmission of data between the vehicles.C-V2X is the emerging technology and it is more efficient as compared to IEEE802.11p. But as the C-V2X technology is increasing at such pace, soon IEEE 802.11p will be set aside. The main benefit of C-V2X is that the transmission range of vehicles will be just double as of IEEE 802.11p. C-V2X is developed by Qualcomm.C-V2X also uses 5G technology. There are already many existing routing protocols for the traffic management, careful selection of suitable protocol may yield the best results. So, to narrow down the choices some of the topological based routing protocols are analyzed further i.e. AODV, AOMDV and MDART. All these protocols are studied on the basis of Average End to End Delay, Average Throughput and Packet delivery ratio. Network simulator version 2.34 (NS2) is used to simulate these routing protocols. In this research work, it is concluded that C-V2X, in comparison to IEEE 802.11p standard performs better. The average throughput and packet delivery ratio of AOMDV gives the best output in different traffic scenarios. But in the case of an Average end to end delay, MDART performs better. It is suggested in the findings of thesis work that AOMDV needs design improvements to give better values for Average End to End Delay which is also necessary for the overall performance of traffic management.