QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing.

Sidra Abid Syed,Samreen Hussain,Cesar Vargas-Rosales,Fahad Azim,Munaf Rashid,Hira Zahid,Asif Umer,Abdul Waheed,Mahdi Zareei

doi:10.3390/s22010401

Abstract

Software-defined network (SDN) and vehicular ad-hoc network (VANET) combined provided a software-defined vehicular network (SDVN). To increase the quality of service (QoS) of vehicle communication and to make the overall process efficient, researchers are working on VANET communication systems. Current research work has made many strides, but due to the following limitations, it needs further investigation and research: Cloud computing is used for messages/tasks execution instead of fog computing, which increases response time. Furthermore, a fault tolerance mechanism is used to reduce the tasks/messages failure ratio. We proposed QoS aware and fault tolerance-based software-defined V vehicular networks using Cloud-fog computing (QAFT-SDVN) to address the above issues. We provided heuristic algorithms to solve the above limitations. The proposed model gets vehicle messages through SDN nodes which are placed on fog nodes. SDN controllers receive messages from nearby SDN units and prioritize the messages in two different ways. One is the message nature way, while the other one is deadline and size way of messages prioritization. SDN controller categorized in safety and non-safety messages and forward to the destination. After sending messages to their destination, we check their acknowledgment; if the destination receives the messages, then no action is taken; otherwise, we use a fault tolerance mechanism. We send the messages again. The proposed model is implemented in CloudSIm and iFogSim, and compared with the latest models. The results show that our proposed model decreased response time by 50% of the safety and non-safety messages by using fog nodes for the SDN controller. Furthermore, we reduced the execution time of the safety and non-safety messages by up to 4%. Similarly, compared with the latest model, we reduced the task failure ratio by 20%, 15%, 23.3%, and 22.5%.

Highlights

The recent development of information communication technology (ICT), vehicular networks (VN), and their communication systems has attracted researchers’ attentions
Three fog nodes are created with equal specification and placed three software-defined networking (SDN) nodes in which one was considered as SDN main controller. 15 vehicles randomly sent messages, and we observed their response time using fog nodes and fog nodes
We provided quality of service (QoS) aware and fault tolerance-based software-defined vehicular networks using Cloud-fog computing (QAFT-software defined vehicular network (SDVN))

Summary

Introduction

The recent development of information communication technology (ICT), vehicular networks (VN), and their communication systems has attracted researchers’ attentions. Due to the several pros of SDN, researchers combined SDN and VANET for better communication among vehicles, which is known as a software defined vehicular network (SDVN) [4,5]. Most of the time, when there is less traffic and movement on roads, there is the problem of unwanted acts like theft, security, etc.; so, in this case, the message of the vehicle must reach the monitoring cells (i.e., the police) [6]. If, in such cases, vehicle messages fail, the tourists/passengers may be in danger

Results

Discussion

Conclusion