Energy-efficient routing protocol on public roads using real-time traffic information

Abstract

Wireless technology has been significantly expanding to perform automotive services related to enhancing road networks and increasing traffic safety. Internet of Vehicles (IoV), as a part of wireless sensor technology, has succeeded in making considerable progress in promoting and protecting human lives from the damage caused by traffic accidents. The road statistical reports demonstrated that utilizing data dissemination techniques in IoV to share timely information about the vehicle’s position with drivers plays a key in avoiding accidents occurrence. This type of technique enables data propagation in a collaboratively and efficient manner to boost real-time performance. However, several limitations have arisen in network bandwidth usage and power consumption, as well as communication reliability with increasing packet loss probability. The main objective of this study is to present a new vehicular architecture that supports the integration of Software-Defined networks and fog computing for enhancing VANET performance. An energy-efficient and QoS-aware routing technique allowing for control of excessive dissemination of data traffic across the networks is also proposed. The simulation results show that the proposed routing protocol introduced an accurately controlling methodology in the transmission rate of data packets and communication reliability of VANET. There is a 50–60% enhancement of the whole power consumption and network throughput, depending on the implementation of the proposed geographical routing methodology.

Traffic coordination by reducing jamming attackers in VANET using probabilistic Manhattan Grid Topology for automobile applications

“…The Fish Eye routing algorithm is applied to handle short-range traffic timing in Ad hoc networks, while the Modified Fisheye State Routing (MFSR) algorithm is employed for longer-distance coverage. The modification in the protocol is explained below 7 . A zone that is enclosed by hop distances.…”

“…Although exchanging up-to-date information has provided a successful model of intelligent automotive systems, it may raise a problem in network bandwidth, response time, and power consumption 6 . The integration of V2I transmissions and V2V re-transmissions operates as follows: initially, Roadside Units (RSUs) disseminate alert messages, and subsequently, chosen relay vehicles retransmit these messages following a customized delay 7 . Furthermore, the SDN controller defines broadcast zones, within which relay vehicles can retransmit messages to ensure coverage for all vehicles in the specified region, especially those in areas with limited or weak signal coverage.…”

QFS-RPL: RPL Based Energy and Mobility Aware Multi Path Routing Protocol for the Internet of Mobile Things Data Transfer Infrastructures

“…FSR is a table-driven implicit hierarchical routing protocol. This protocol resembles the Link State (LS)-based routing protocol because it maintains topology information at each node [50]. The difference is that in LS, whenever a node detects a topology change, the link-state packets are generated and flooded in the network, but in FSR, the link-state packets are not flooded.…”

Energy-efficient routing protocol for reliable low-latency Internet of Things in oil and gas pipeline monitoring

“…However, OGI-specific environmental conditions significantly change the meaning of these challenges. In this research, we address challenges of energy efficiency, fault tolerance, low latency, and optimal data transmission specific to challenging configurations of the OGI pipeline ( Balakrishnan et al, 2023 ; Ali & Ali, 2023 ).…”