A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

Abstract

A software-defined vehicular network is made up of an IoT (Internet of Things) based vehicular ad-hoc network and a software-defined network. For better communication in IoT based vehicle networks, researchers are now working on the VANET (Vehicular Ad-hoc Network) to increase the overall system performance. To maximize the VANET ad-hoc network's information application performance and reliability, edge computing has gained the attention of researchers. In current research, cloud computing is used for message related task execution, which increases the response time. We propose a Software-defined Fault Tolerance and QoS-Aware (Quality of Service) IoT-Based Vehicular Networks Using Edge Computing Secured by Blockchain to reduce overall communication delay, message failure fault tolerance, and secure service provisioning for VANET ad-hoc networks in this article. We proposed heuristic algorithms to solve the above mentioned problems of response delay, message failure, fault tolerance, and security provided by the Blockchain. The proposed model gets vehicle messages through SDN (Software defined network) nodes, which are placed on nearby edge servers, and the edge servers are validated by the blockchain to provide secure services to vehicles. The SDN controller, which exists on an edge server, which is placed on the road side to overcome communication delays, receives different messages from the vehicles and divides these messages in to two different categories. The message division is performed by the edge server by judging the time line, size, and emergency situation. SDN controller organized these messages and forwarded them to their destination. After the message is delivered to its destination, a fault tolerance mechanism checks their acknowledgements. If the message delivery fails, the fault tolerance algorithm will resend the failure message. The proposed model is implemented using a custom simulator and compared with the latest VANET based QoS and fault tolerance models. The result shows the performance of the proposed model, which decreased the overall message communication delay by 55% of the normal and emergency messages by using the edge server SDN controller. Furthermore, the proposed model reduces the execution time, security risk, and message failure ratio by using the edge server, cloud server and blockchain infrastructure.

B-SAFE: Blockchain-Enabled Security Architecture for Connected Vehicle Fog Environment

“…This scheme reduces the communication message latency and enhances the routing path. Using edge computing enabled through blockchain, the authors in [ 31 ] created software-defined fault tolerance and quality-of-service-aware IoT-based vehicular networks, reducing the total communication time and message failure fault tolerance and increasing safe service delivery for VANET.…”

Deep Reinforcement Learning Driven Joint Dynamic TDD and RRC Connection Management Scheme in Massive IoT Networks

“…For instance, Ahmed et al [16] specifically addresses upstream QoS concerns in terms of communication delay, security risks, and message failure, based on the devices' requirements in QoS-Aware IoT-Based Vehicular Networks. Jiang et al [17] scrutinize the collision probability of RA schemes designed for requesting UL grants, proposing a novel RA scheme in the context of a massive IoT environment to reduce average queueing and waiting delays for UL transmissions.…”

Enhancing Healthcare Efficacy Through IoT-Edge Fusion: A Novel Approach for Smart Health Monitoring and Diagnosis

“…The paper [11] depicted Threat Classification Model (TCM) using fuzzy logic (FL) for detection in real-time of a suitable privacy level for videos transmitting. Researchers [12], [13]discuss the recent developments in IoT privacy and security, points out unresolved problems, and offers areas for further research.To address [14]the issueswith response time, message failure, fault tolerance, and security offered by the blockchain, authors put forth heuristic methods.While reducing the reaction time for urgent communications and unloading the cloud infrastructure, the suggested method calls for only minor changes to the current Internet of Things ecosystem [15]. This study proposes a message scheduling for a blockchain-based architecture [16], and develop an efficient algorithm for cross-layer architecture at network and application level [17].The use of IoT and Blockchain technology allows for a smart technique of detecting and preventing COVID-19 victims [18]and authors [19]suggest auto detects encoder and secure the video output of very encoder.…”