Review Article

Challenges of Future VANET and Cloud-Based Approaches

Table 2

A comparative study of software defined network in VANETs.

ReferencesProtocolControllerSimulatorRemarks

[45]Software Defined Vehicular Network (SDVN)Open source SDN
controller POX
NS3 + SUMODiscuss solutions to improve and mitigate heterogeneity of VANETs and provide solutions for constructing a logically centralized but physically distributed SDN controller to improve scalability.

[46]Optimized Software-Defined
Vehicular Ad Hoc Networks (OSDVN)
----Omnet + Veins + SumoControl plane optimization Software-Defined Vehicular Ad Hoc Networks to balance the latency requirement and the cost on 5G networks.

[47]Software-Defined Internet Of Vehicles (SDIV)FloodlightMininetProposed a novel rule installation mechanism aimed at reducing flow table size for real-time query services in SDIV

[48]SDN based Vehicle Ad-Hoc On-Demand Routing (SVAO)------NS3 + SUMOSeparates network control layer and data transfer layer of SDN to enhance the data
transmission efficiency within VANETs.

[49]Software Defined Internet of Vehicles (SD-IoV)OpenFlow
controllers
-----------Proposed a layered SD-IoV architecture, which is capable of improving resource utilization, QoS, and network optimization.

[50]RSU Cloud Resource Management (RSU-CRM)OpenFlow
controllers
MininetA road side Cloud resource management (CRM) model provides multi-objective optimization for minimizing control plane overhead, VM migration, number of service hosts and reducing infrastructure delays.

[51]Software-defined Trust based Ad-Hoc On-demand Distance Vector routing (SD-TAODV)NOSOPNETSDN based VANET focused on on-demand distance vector routing protocol with trust management scheme.

[52]Fog Computing based on SDN (FSDN)OpenFlow
controllers
-----------By leveraging the SDN basic functionality into fog computing, SDN can support services like a resource manager and fog orchestration models.