Abstract
Vehicle-assisted data offloading is envisioned to significantly alleviate the problem of explosive growth of mobile data traffic. However, due to the high mobility of vehicles and the frequent disruption of communication links, it is very challenging to efficiently optimize collaborative offloading from a group of vehicles. In this paper, we leverage the concept of Software-Defined Networking (SDN) and propose a software-defined collaborative offloading (SDCO) solution for heterogeneous vehicular networks. In particular, SDCO can efficiently manage the offloading nodes and paths based on a centralized offloading controller. The offloading controller is equipped with two specific functions: the hybrid awareness path collaboration (HPC) and the graph-based source collaboration (GSC). HPC is in charge of selecting the suitable paths based on the round-trip time, packet loss rate, and path bandwidth, while GSC optimizes the offloading nodes according to the minimum vertex cover for effective offloading. Simulation results are provided to demonstrate that SDCO can achieve better offloading efficiency compared to the state-of-the-art solutions.
Highlights
With the significant advance of automobile technologies, the Internet of vehicles (IoV) is becoming a standard feature in the near future, where vehicles are equipped with advanced communication devices, and exchange data and information through vehicle-to-everything (V2X) communications [1, 2]
Our previous work has investigated a new networking paradigm named Smart Identifier NETworking (SINET) and proposed a SINET customized solution for software-defined vehicular networks (SINET-V) [13, 14]. Based on such a SINET-V architecture, in this paper, we propose a software-defined collaborative offloading (SDCO) solution, which employs a centralized software-defined controller to globally distribute offloading policies to vehicular nodes in heterogeneous vehicular networks
This paper leverages the advantages of Software-Defined Networking (SDN) and proposes a SDN-based collaborative offloading for heterogeneous vehicular networks, which can globally and efficiently distribute offloading policies to vehicular nodes
Summary
With the significant advance of automobile technologies, the Internet of vehicles (IoV) is becoming a standard feature in the near future, where vehicles are equipped with advanced communication devices, and exchange data and information through vehicle-to-everything (V2X) communications [1, 2]. The data offloading via various communications technologies has been considered in the 5G deployment With this feature, 5G has a great potential of providing massive access, high reliability, global coverage, and very low latency for challenging situations like vehicular networks. The connection time between a vehicle and an offloading point (e.g., WiFi access points and small cell base stations) might be very short; the content sources and transmission paths will be highly dynamic. With such dynamics, the quality of service (QoS) requirements are difficult to guarantee.
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