dSDiVN: A Distributed Software-Defined Networking Architecture for Infrastructure-Less Vehicular Networks

Abstract

In the last few years, the emerging network architecture paradigm of Software-Defined Networking (SDN), has become one of the most important technology to manage large scale networks such as Vehicular Ad-hoc Networks (VANETs). Recently, several works have shown interest in the use of SDN paradigm in VANETs. SDN brings flexibility, scalability and management facility to current VANETs. However, almost all of proposed Software-Defined VANET (SDVN) architectures are infrastructure-based. This paper will focus on how to enable SDN in infrastructure-less vehicular environments. For this aim, we propose a novel distributed SDN-based architecture for uncovered infrastructure-less vehicular scenarios. It is a scalable cluster-based architecture with distributed mobile controllers and a reliable fallback recovery mechanism based on self-organized clustering and failure anticipation.

HSDN‐GRA: A hybrid software‐defined networking‐based geographic routing protocol with multi‐agent approach

“…However, the difficulty of maintaining a global knowledge of the network, or at least partial state of the network without overloading the communication channels and over‐consuming resources, represents the principal cons of the fully decentralized control plane, especially for routing needs. In Alioua et al, 38 a distributed multi‐hop SDN‐based architecture for infrastructure‐less VANETs (dSDiVN) which exploits exclusively the V2 V communications mode is proposed. In their architecture, they propose to associate the clustering technique to the SDN paradigm.…”

Survey on IoV routing protocols: Security and network architecture

“…Alioua et al 80 proposed a distributed multihop SDN-based architecture for infrastructure-less VANET (dSDiVN) that uses only V2V communications. Their architecture combines SDN with a clustering technique to partition the network and assign for each partition a dedicated controller.…”

Incentive edge caching in software‐defined internet of vehicles: A Stackelberg game approach

“…Most of these distributed architectures combine between SDN features and fog/edge computing capabilities for reducing the latency and satisfying the requirement of delay‐sensitive vehicular services. In our previous work, we have presented distributed Software‐Defined Infrastructure‐less Vehicular Networks (dSDiVN), a fully distributed SDN‐based architecture for infrastructure‐less vehicular scenarios with mobile SDN controllers. Then in Alioua et al, we have generalized dSDiVN to operate in both covered and uncovered heterogeneous vehicular scenarios.…”

“…Recently, some works consider the edge caching problem from commercial perspective focusing on how to incite the caching actors to participate in the caching process. Game‐theoretical‐based models are usually used as an efficient tool to investigate the incentive caching problem; refer to Alioua et al and Shen et al In Poularakis, a Stackelberg game is proposed to model an incentive caching policy where an MNO offers a reward price as an incentive for SBS owners to offer the necessary storage and bandwidth for delivering the requested contents by their nearby mobile users through D2D communication. Chen et al have investigated an incentive caching mechanism using a Stackelberg game, where the base station encourages and rewards the user terminals to more share their content using D2D communication.…”

“…In the last few years, integrating the emerging paradigm of software‐defined networking (SDN) in vehicular networks has gained considerable attention. Indeed, several works have shown that by physically separating the control plane features from that of the data plane and by enabling a logically centralized system control, SDN can facilitate the network management, exploit the vehicular resources more efficiently, and bring new services. Recently, the exponential increase in the number of connected vehicles and the growing explosive demand of infotainment bandwidth‐intensive application (eg, video‐on‐demand, video streaming, etc) are provoked an avalanche augmentation of vehicular mobile data traffic.…”