Optimal Routing Protocol to Reduce Frequent Disconnection Problem with Improvement of Link Quality in Vehicle Network

Abstract

Vehicular Ad-hoc Networks (VANETs) are currently receiving significant interest from academics because to the escalating traffic issues, particularly in densely populated nations. The rising incidence of accidents necessitates the implementation of an Intelligent Transportation System (ITS) that can effectively minimize and alleviate this trend. The existing routing protocols for VANETs address various scenarios and techniques for establishing dependable communication between vehicles and infrastructures. However, certain conditions, such as the stability of the link between vehicles during packet exchange, have not been well handled. This work presents the Link Reliability Data Forwarding Routing Protocol (LRDF-RP) as a solution to address the issue of frequent disconnections and improve route selection based on reliability in Mobility prediction in VANET. This study encompasses two essential contributions: (1) Enhancing the prediction routing protocol to transmit packets over a dependable route, and (2) Incorporating more logic in the selection of intermediate nodes towards the destination to get an increased Packet Delivery Ratio (PDR). The LRDF-RP employs the Prims Greedy algorithm for forwarding and the Predictive Perimeter method for recovery, with changes made to both algorithms to fulfil the specific demands of VANETs. The approach is evaluated based on several criteria including packet delivery ratio, throughput, end-to-end delay, consumption of energy, and average hop count.