MADCR:Mobility Aware Dynamic Clustering-Based Routing Protocol in Internet of Vehicles  

作　　者：Sankar Sennan Somula Ramasubbareddy Sathiyabhama Balasubramaniyam Anand Nayyar Chaker Abdelaziz Kerrache Muhammad Bilal 

机构地区：[1]Deparment of of Computer Science and Engineering,Sona College of Technology,Salem 636005,India [2]Deparment of Information Technology,VNR Vignana Jyothi Institute of Engineering and Technology,Hyderabad 500090,India. [3]Graduate School,Duy Tan University,Da Nang 550000,Vietnam [4]Faculty of Information Technology,Duy Tan University,Da Nang 550000,Vietnam [5]Laboratoire d’Informatique et de Mathématiques,UniversitéAmar Telidji de Laghouat,Laghouat,Algeria. [6]Department of Computer Engineering,Hankuk University of Foreign Studies,17035,Yongin-Si,South Korea

出　　处：《China Communications》2021年第7期69-85,共17页中国通信（英文版）

基　　金：This work was supported by National Natural Science Foundation of China(No.61821001);Science and Tech-nology Key Project of Guangdong Province,China(2019B010157001).

摘　　要：Internet of Vehicles(IoV)is an evolution of the Internet of Things(IoT)to improve the capabilities of vehicular ad-hoc networks(VANETs)in intelligence transport systems.The network topology in IoV paradigm is highly dynamic.Clustering is one of the promising solutions to maintain the route stability in the dynamic network.However,existing algorithms consume a considerable amount of time in the cluster head(CH)selection process.Thus,this study proposes a mobility aware dynamic clustering-based routing(MADCR)protocol in IoV to maximize the lifespan of networks and reduce the end-to-end delay of vehicles.The MADCR protocol consists of cluster formation and CH selection processes.A cluster is formed on the basis of Euclidean distance.The CH is then chosen using the mayfly optimization algorithm(MOA).The CH subsequently receives vehicle data and forwards such data to the Road Side Unit(RSU).The performance of the MADCR protocol is compared with that ofAnt Colony Optimization(ACO),Comprehensive Learning Particle Swarm Optimization(CLPSO),and Clustering Algorithm for Internet of Vehicles based on Dragonfly Optimizer(CAVDO).The proposed MADCR protocol decreases the end-toend delay by 5–80 ms and increases the packet delivery ratio by 5%–15%.

关 键 词：clustering protocol Internet of things Internet of vehicles optimization algorithm Mayfly algorithm 

分 类 号：U463.6[机械工程—车辆工程] U495[交通运输工程—载运工具运用工程] TN929.5[交通运输工程—道路与铁道工程]