Mobile-edge computing-based delay minimization controller placement in SDN-IoV

Internet of Vehicles (IoV) plays a fundamental role in the rapid development of intelligent transportation systems and smart cities by the way of facilitating data access. However, traditional routing protocols-based data forwarding cannot guarantee reliable services for low-latency applications in...

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Bibliographic Details
Published inComputer networks (Amsterdam, Netherlands : 1999) Vol. 193; p. 108049
Main Authors Li, Bo, Deng, Xiaoheng, Deng, Yiqin
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 05.07.2021
Elsevier Sequoia S.A
Subjects
Algorithms
Controller placement
Controllers
Delay
Edge computing
Indexing
Intelligent transportation systems
Internet of Vehicles
Internet of Vehicles (IoV)
Load balancing
Louvain algorithm
Mobile computing
Mobile-edge computing (MEC)
Optimization
Placement
Routing (telecommunications)
Software-defined Network (SDN)
Software-defined networking
Topology
Software-defined Network (SDN)
Internet of Vehicles (IoV)
Louvain algorithm
Controller placement
Mobile-edge computing (MEC)
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Summary:Internet of Vehicles (IoV) plays a fundamental role in the rapid development of intelligent transportation systems and smart cities by the way of facilitating data access. However, traditional routing protocols-based data forwarding cannot guarantee reliable services for low-latency applications in IoV. Motivated by the promising technologies of Software-defined networking (SDN) and Mobile-edge computing, this paper aims at enhancing the performance of IoV with the assistance of these two. Specifically, we first propose a three-layer hierarchy control framework for SDN-IoV based on the MEC. Under this framework, we investigate a controller placement problem with the objective of minimizing the delay between the switch and the controller. Then, we propose a Louvain algorithm-based controller placement policy to obtain the optimal location of controllers subject to load balance index and buffer size. Further, we put forward a controller replacement policy to adapt to the dynamic topology of IoV. Numerical results show that the proposed methods achieve a better performance than two baselines, in terms of the delay and load balance index.
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ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2021.108049