{"title":"An Optimized Link Duration-Based Mobility Management Scheme for Connected Vehicular Networks","authors":"Noura Aljeri, A. Boukerche","doi":"10.1145/3345860.3361518","DOIUrl":null,"url":null,"abstract":"Recently, both academia and automotive industries have shown an increasing interest in autonomous driving and real-time services for new modern vehicles, including adaptive cruise control, traffic conditions, emergency alerts, and infotainment services. Wireless mobile communication is vital for the efficient delivery of such services to drivers on the road. However, the vehicles' high speed and rapid changes in their movements affect the performance of traditional wireless communication. Therefore, an efficient mobility management protocol is needed for vehicular networks. Conventional mobility management schemes yield high communication overhead and packet drop during the handover process, as it doesn't consider vehicles movements characteristic and projections. In this paper, we propose an optimized link duration-based mobility management scheme for vehicular networks, in order to reduce the network communication overhead while maintaining high packet delivery ratio and low End-to-End delay. Our model estimates the link stability between a vehicle and an access router to dynamically adjust the registration time between them. The proposed scheme is evaluated in terms of overhead, End-to-End delay, and packet delivery ratio. Simulation results indicate that the proposed scheme succeeds in reducing the communication overhead by 45% while increasing the packet delivery ratio in Urban mobility environment.","PeriodicalId":55557,"journal":{"name":"Ad Hoc & Sensor Wireless Networks","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3345860.3361518","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ad Hoc & Sensor Wireless Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3345860.3361518","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 6
Abstract
Recently, both academia and automotive industries have shown an increasing interest in autonomous driving and real-time services for new modern vehicles, including adaptive cruise control, traffic conditions, emergency alerts, and infotainment services. Wireless mobile communication is vital for the efficient delivery of such services to drivers on the road. However, the vehicles' high speed and rapid changes in their movements affect the performance of traditional wireless communication. Therefore, an efficient mobility management protocol is needed for vehicular networks. Conventional mobility management schemes yield high communication overhead and packet drop during the handover process, as it doesn't consider vehicles movements characteristic and projections. In this paper, we propose an optimized link duration-based mobility management scheme for vehicular networks, in order to reduce the network communication overhead while maintaining high packet delivery ratio and low End-to-End delay. Our model estimates the link stability between a vehicle and an access router to dynamically adjust the registration time between them. The proposed scheme is evaluated in terms of overhead, End-to-End delay, and packet delivery ratio. Simulation results indicate that the proposed scheme succeeds in reducing the communication overhead by 45% while increasing the packet delivery ratio in Urban mobility environment.
期刊介绍:
Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.