Energy-Efficient Routing Protocol For Enhancing The Vehicular Ad-Hoc Network Communication

Abstract

Abstract Vehicular Ad-hoc Networks (VANET) have been significantly expanding to perform automotive services related to enhancing road networks, congestion flow, and even real-time traffic jams. Amid modern transportation systems, traffic quality has been relied on exchanging massive amounts of up-to-date information about their physical position and status with traffic management centers; this yields what’s called the ”data dissemination” problem. This type of phenomenon allows data propagation in a collaboratively and efficient manner to boost realtime performance. However, it brings several limitations in bandwidth usage and power consumption resulting in the premature end of network lifetime, as well as continuous break in path connection leading to lack of communication reliability and increasing packet loss probability. As a result, adjusting the rate of data dissemination over the network has become inescapable. The main objective of this study is to present a vehicle system design methodology that has the potential to achieve sufficient energy conservation as well as overcome real-time constraints. A dynamic real-time interaction architecture for vehicular networks based on an energy-efficient and QoS-aware routing technique and effective path estimation allowing for control of excessive dissemination of data traffic across the vehicular networks is proposed. The proposed architecture is also subjecting a new integration model between Software-Define Network (SDN) and fog computing for enhancing VANET performance. The simulation results show that the proposed architecture introduced an accurately controlling methodology in the transmission rate of data packets of VANET. There is a 60%-70% enhancement of the whole power consumption and network throughput, depending on the implementation of the proposed geographical routing methodology. The overall performance is enhanced in terms of packet delivery ratio, packet loss ratio, end-to-end delay time, and routing overhead.