NDLI: V2V Data Offloading for Cellular Network Based on the Software Defined Network (SDN) Inside Mobile Edge Computing (MEC) Architecture

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Chung-Ming Huang Meng-Shu Chiang Duy-Tuan Dao Wei-Long Su Shouzhi Xu Huan Zhou
Abstract	Data offloading plays an important role for the mobile data explosion problem that occurs in cellular networks. This paper proposed an idea and control scheme for offloading vehicular communication traffic in the cellular network to vehicle to vehicle (V2V) paths that can exist in vehicular ad hoc networks (VANETs). A software-defined network (SDN) inside the mobile edge computing (MEC) architecture, which is abbreviated as the SDNi-MEC server, is devised in this paper to tackle the complicated issues of VANET V2V offloading. Using the proposed SDNi-MEC architecture, each vehicle reports its contextual information to the context database of the SDNi-MEC server, and the SDN controller of the SDNi-MEC server calculates whether there is a V2V path between the two vehicles that are currently communicating with each other through the cellular network. This proposed method: 1) uses each vehicle's context; 2) adopts a centralized management strategy for calculation and notification; and 3) tries to establish a VANET routing path for paired vehicles that are currently communicating with each other using a cellular network. The performance analysis for the proposed offloading control scheme based on the SDNi-MEC server architecture shows that it has better throughput in both the cellular networking link and the V2V paths when the vehicle's density is in the middle.
e-ISSN	21693536
DOI	10.1109/ACCESS.2018.2820679
Journal	IEEE Access
Volume Number	6
Language	English
Publisher	IEEE
Publisher Date	2018-01-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Electrical Engineering. Electronics. Nuclear Engineering Cellular Networks Mobile Edge Computing (mec) Software Defined Network (sdn) Vanet Offloading V2v Communication
Content Type	Text
Resource Type	Article

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