Vehicle Authentication-Based Resilient Routing Algorithm With Dynamic Task Allocation for VANETs

作     者：Pacharla, Nagaraju Reddy, K. Srinivasa 

作者机构：VIT AP Univ Sch Comp Sci & Engn Amaravati 522241 Andhra Pradesh India 

出 版 物：《IEEE ACCESS》 (IEEE Access)

年 卷 期：2024年第12卷

页      面：195344-195357页

核心收录：

基　　金：VIT-AP University  Amaravati  Andhra Pradesh 

主　　题：Vehicular ad hoc networks Routing Resource management Vehicle dynamics Security Routing protocols Heuristic algorithms Authentication Edge computing Dynamic scheduling Dynamic task allocation latency reduction routing algorithm security vehicular ad-hoc networks vehicle-to-vehicle vehicle-to-infrastructure 

摘      要：Vehicles of the future will have built-in means of communication that will allow them to exchange data with one another. One use of this kind of communication between vehicles that ultimately results in an Intelligent Transport System (ITS) is used by Vehicular Ad hoc Networks (VANETs). Parameters, such as environmental changes, that impact the performance of actual VANET applications were mostly disregarded by most techniques. Both VANET performance and throughput are susceptible to environmental variations. The great dynamism of VANETs makes data routing in such a network a difficult challenge. There are constraints in VANET regarding processing power, bandwidth, time, and high-speed mobility in vehicles. In VANETs, fog computing can significantly improve fog-based service quality. The evolution of cloud computing, the Internet of Things (IoT), and intelligent transportation systems has elevated the significance of fog computing s integration with VANETs. While transferring tasks to the fog layer, it is essential to meet the vehicles needs for low latency and quick response times. With the goal of reducing task offloading delay and improving enhanced reaction time, a VANET-based task scheduling system is proposed after selecting an optimal route in the VANET. Taking into account the limited resources of vehicle nodes, the suggested technique efficiently moves workloads to the fog computing layer. The requirement for means to guarantee the constant and secure functioning of vehicles is directly proportional to their numbers. This research proposes a Vehicle Authentication based Resilient Routing Algorithm with Dynamic Task Allocation (VARRA-DTA) Scheme for selecting the optimal and secured route in VANET with effective task allocation strategy that reduces the latency in the network. The proposed model exhibits better results when contrasted with the traditional models. The proposed model achieved 98.7% accuracy in task scheduling, 99.1% accuracy in route selectio