A Software-Defined Networking Roadside Unit Cloud Resource Management Framework for Vehicle Ad Hoc Networks

Abstract

Roadside unit (RSU) cloud and its vehicle-to-infrastructure (V2I) connectivity can enable various security, entertainment, and shared mobility applications for vehicles in intelligent transportation systems (ITS) through wireless communications. In this article, the deep programmability of software-defined networking (SDN) is employed to dynamically reconfigure network hosting services and their data forwarding information for effectively meeting the basic shared mobility applications’ needs in vehicle ad hoc networks (VANETs). Multipath is also enabled to forward data flow for balancing network links utilization rate and SDN is thus utilized to achieve the minimum cloud delay with the least number of hosts, which can be summarized as a mixed-integer linear programming (MILP) problem. The joint optimization (JO) algorithm is proposed and in contrast to the two single-objective algorithms which are the delay optimization (DO) algorithm and host optimization (HO) algorithm, respectively. Results show that, for the single-threading instance, the JO and DO algorithms are the same in essence. For the multithreading instance, the JO algorithm generally outperforms the two single-objective optimization algorithms, respectively, under given demands. Furthermore, results also demonstrate that the services should be deployed globally in a distributed manner rather than in the centralized manner for achieving the minimized cloud delay in designing an RSU cloud.

An Environmentally Sustainable Software-Defined Networking Data Dissemination Method for Mixed Traffic Flows in RSU Clouds with Energy Restriction

“…What is more, feasible solutions are with a maximum communication demand of 53 Mbps, and thus we further tested the conditions that demands were set at 50 Mbps, 51 Mbps, 52 Mbps and 53 Mbps. In our previous study [ 27 ], with 10 RSUs for the SDN RSU cloud topology, the maximum communication demand with a feasible solution was 97 Mbps. In the former research, though with different focuses on the research issue, to some extent it still showed that the network topology size and the number of RSUs had important effects on the existence of feasible solutions.…”

Convergence of Software-Defined Vehicular Cloud and 5G Enabling Technologies: A Survey

“…In order to reduce network reconfiguration time, the CRM uses consistent updates between current and target configurations through SDN technology in the proposed architecture. The deep programmability of SDN [72] involves the SDN RSU cloud framework to dynamically reconfigure network hosting services and their data forwarding information in order to meet the needs of basic shared mobility applications in vehicles. RSUs in the proposed SDN RSU cloud framework consist of physical servers that can store and compute data as well as switches that can exchange non-safety app information from vehicles on road sections and nearby RSUs.…”

Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey

“…Vehicle networks place a high priority on safety-related services. An innovative packet-scheduling approach is proposed for resource management in VANETs [145]. SDHVN's data dissemination utility is enhanced by it, as well as the multi-class QoS performance.…”