Blockchain Based Trust Model Using Tendermint in Vehicular Adhoc Networks

Blockchain is the consensus-based technology to resolve the conflicts in Byzantine environments. Vehicles validate the messages received from the neighboring vehicles using Gradient Boosting Technique (GBT). Based on the validation results the message source vehicle generates the ratings that are to be uploaded to Road Side Units (RSUs) through that trust offset value can be calculated. All RSUs maintain the trust blockchain and each RSU tries to add their blocks to trust blockchain. We proposed a blockchain-based trust management model for VANET based on Tendermint. It eliminates the problem of malicious nodes entering the network and will also overcome the problem of power consumption. Simulation results also show that the proposed system is 7.8% and 15.6% effective and efficient in terms of Packet Delivery Ratio (PDR) and End-to-End Delay (EED) respectively to collect the trusted data between the vehicles.

Performance Analysis of Stationary and Deterministic AODV Model

Vehicular Adhoc Network (VANET) is an emerging technology that provides a digital communication among vehicles, persons and Road-Side Units (RSU). VANETs are highly vulnerable to cyber-attacks. These cyber-attacks make a wrong illusion on traffic jam, can inject false information regarding traffics and injects large amount of spam messages that disrupts the normal functionalities. The main objective of the research work is to implement and analyze the different models that help in improving the traffic management. The scenarios are simulated, and the performance is analyzed using the OMNET++ Simulator<strong>.</strong>

Clustering-Based Optimal Relay Vehicle Selection Scheme for Vehicular Adhoc Networks (VANETs)

Due to the high speed of vehicles in vehicular adhoc networks (VANETs), a frequent out of range area termed as uncoverage area between two neighboring road side units (RSUs) occurs. In such an uncoverage area, the reachability of the requested contents or data to vehicles is minimized due to the non-established connection between vehicles and RSUs. To maintain connectivity in an uncoverage area, various relay vehicles (RVs) selection schemes have been proposed. In this paper, a cluster-based optimal relay vehicle (CORV) selection scheme is proposed in which firstly, cluster and cluster heads (CHs) are formed and then RVs are selected depending upon remaining connection time, range, and location of vehicle. And then requested data is forwarded to DVs, which was not forwarded to vehicles in coverage area. The simulation results depict that the proposed scheme is able to retrieve maximum amount of requested contents or data in an uncoverage area by vehicles.

Edge Computing and Blockchain for Quick Fake News Detection in IoV

The dissemination of false messages in Internet of Vehicles (IoV) has a negative impact on road safety and traffic efficiency. Therefore, it is critical to quickly detect fake news considering news timeliness in IoV. We propose a network computing framework Quick Fake News Detection (QcFND) in this paper, which exploits the technologies from Software-Defined Networking (SDN), edge computing, blockchain, and Bayesian networks. QcFND consists of two tiers: edge and vehicles. The edge is composed of Software-Defined Road Side Units (SDRSUs), which is extended from traditional Road Side Units (RSUs) and hosts virtual machines such as SDN controllers and blockchain servers. The SDN controllers help to implement the load balancing on IoV. The blockchain servers accommodate the reports submitted by vehicles and calculate the probability of the presence of a traffic event, providing time-sensitive services to the passing vehicles. Specifically, we exploit Bayesian Network to infer whether to trust the received traffic reports. We test the performance of QcFND with three platforms, i.e., Veins, Hyperledger Fabric, and Netica. Extensive simulations and experiments show that QcFND achieves good performance compared with other solutions.

Vehicle To Vehicle “V2V” Communication: Scope, Importance, Challenges, Research Directions and Future

Day after day Internet of Things (IOT) has become essential in our lives with a lot of research directions and technologies, one of these directions is the Intelligent Transportation System (ITS) which is important for traffic management, and safety. One of its main points is the Vehicle-To-Vehicle (V2V) communication which is essential for the ITS full automated process as it decreases the number of hits between the vehicles and the access points on the roads. V2V is important for the developing countries which does not include Road Side Units (RSUs), so in this research we will go through V2V research directions to explore the current models, and to find out the advantages and challenges of implementing V2V.