Mobility Aware Blockchain Enabled Offloading and Scheduling in Vehicular Fog Cloud Computing

Abstract : The development of vehicular Internet of Things (IoT) applications, such as E-Transport, Augmented Reality, and Virtual Reality are growing progressively. The mobility aware services and network-based security are fundamental requirements of these applications. However, multiside offloading enabling blockchain and cost-efficient scheduling in heterogeneous vehicular fog cloud nodes network become a challenging task. The study formulates this problem as a convex optimization problem, where all constraints are the convex set.The goal of the study is to minimize communication cost and computation cost of applications under mobility, security, deadline, and resource constraints. Initially, we propose a novel vehicular fog cloud network (VFCN) which consists of different components and heterogeneous computing nodes. The ensure mobility privacy, the study devises Mobility Aware Blockchain-Enabled offloading scheme (MABOS). It extends blockchain enable multi-side offloading (e.g., offline offloading and online offloading) with proof of work (PoW), proof of creditability (PoC) and fault-tolerant techniques. The purpose is to offload all tasks under the secure network without any violation. Furthermore, to ensure Quality of Service

 EXISTING SYSTEM :

 ? The mobile communication technology is quickly developing, such as 5G technology. However, the SIM card cost and communication fee are too high for a sensing device. Therefore, many existing and deployed sensing devices usually do not use the cellular network. ? Our proposed method can make full use of the existing infrastructures to implement the task offloading of sensing devices, the experimental results show that our proposed solution can achieve the maximum reward and decrease delay. ? In general, the delay time is totally acceptable. The experimental results show that our scheme is better than the existing scheme. We can see that our performances on reward, packets and delay are better compared with the comparison schemes.

 DISADVANTAGE :

 ? The paper formulates blockchain-enabled and mobility aware task multi-side offloading and scheduling problem with vehicular fog cloud network. ? The objective is to minimize communication cost and process cost of vehicular applications. ? The problem constraints, i.e., network bandwidth, the deadline of tasks, resource capacity of nodes are taking into considering during formulation. ? The nodes are a combination of heterogenous decentralized fog nodes and centralized cloud to process generated requests by users. The Blockchain is a distributed decentralized network that provides immutability, privacy, security, and transparency.

 PROPOSED SYSTEM :

 • Researchers proposed to adopt mobile vehicles to collect data sensed by the sensing devices distributed in the city. • Similarly, there is a possible way to solve the task offloading problem, the moving mobile vehicles in the city can act as the task mules. There is a large number of vehicles moving around the city. • The mobile edge computing is proposed to provide computation services for edge devices. • However, a large number of sensing devices cannot connect to Internet, thus it is impossible to offload the computation tasks to MEC servers.

 ADVANTAGE :

 ? The paper considered these challenging tasks into considerations and proved that all mobility features obtained successfully. Illustrate RPD% performances of applications during mobility and Optimal Offloading Time (OOT) outperform existing mobility methods. ? Therefore, the performance of scheduling with multi-tasks will degrade during allocation. Another hand, LSBTS is an efficient and aware mobility task dynamic scheduling algorithm which adapts any environment changes to minimize the system cost. ? Furthermore, the high-speed access networks, such as 5G Dynamic Spectrum Access (DSA) and high-speed WiFi, offers seamless links in the to boost the performance of the vehicle network.