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Title	Improved Energy-Efficient Routing Architecture For Traffic Management System Using A Hybrid Meta-Heuristic Algorithm In Internet Of Vehicles
ID_Doc	30711
Authors	Shao X.
Year	2022
Published	Journal of High Speed Networks, 28, 4
DOI	http://dx.doi.org/10.3233/JHS-222003
Abstract	Today, Internet of Vehicles (IoV) applications communicate with smart devices and deploy Intelligent Transportation Systems (ITS) to recognize traffic congestion problems. One of the main challenges of smart cities and IoV platforms is data routing methods for smart traffic congestion problems to navigate the individual information of data transmission as a critical issue in the ITS. Providing a way to extend the Quality of Service (QoS) variables and energy efficiency methods for directing data transmission in routing-based traffic management systems within the IoV environment is an important issue since the energy consumption of IoV devices is a critical issue in low-power saving storage. This paper presents a hybrid Genetic Algorithm and Social Spider Optimization (GA-SSO) algorithm for an energy-aware routing schema for optimizing traffic congestion and smart devices in the IoV environment. After conducting some studies and comparisons, the exactness and prevalence of the proposed schema were received. Experimental results confirmed that the GA-SSO algorithm calculation decides optimal and ideal arrangement for energy-aware routing schema demonstrate by essentially making strides the execution of QoS variables can oversee information blockage comes from data transmission between IoV nodes. © 2022 - IOS Press. All rights reserved.
Author Keywords	genetic algorithm; Internet of Vehicles; routing method; smart cities; social spider optimization; traffic congestion management

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