SURVIVOR: A blockchain based edge-as-a-service framework for secure energy trading in SDN-enabled vehicle-to-grid environment

Abstract

Electric vehicles (EVs) have transformed the smart transportation sector by providing diverse energy management solutions to the smart grid. Energy trading among EVs and charging stations (CS) in a vehicle-to-grid (V2G) environment is one of the popular verticals in smart grid. However, processing the energy trading decisions at remote control centers lead to an increase in delay and network overhead. Apart from these issues, the security concerns while trading the energy in such an environment remain persistent. Therefore, to handle the aforementioned issues, this paper presents SURVIVOR: A Blockchain based Edge-as-a-Service Framework for Secure Energy Trading in software defined networking (SDN)-enabled V2G Environment. In the proposed framework, the energy trading decisions are processed closer to the location of EVs through edge nodes. Moreover, for securing the energy trading transactions, blockchain is used wherein the approver nodes are selected amongst all the present nodes on the basis of a utility function and are made responsible for validating the transactions. Once such nodes are selected, a consensus-based blockchain mechanism for secure energy trading in SDN-enabled V2G environment is presented. In this mechanism, edge nodes are responsible for generating proof-of-work puzzles. The proof-of-work is * Corresponding Author a unique hash value which is computed for each EV and the transactions for which the approver nodes compute the same proof-of-work for each EV are added in the blockchain. The complete scheme is backed by the SDN architecture to reduce the overall latency and increase the throughput of the smart transportation network. The results obtained prove that the proposed scheme is effective for trading the energy between EVs and CS while securing the underlying trading transactions using blockchain. Moreover, the communication and computation cost of the proposed scheme comes out to be small which proves that it can be used in real-world applications. The latency in the complete transportation sector is also greatly reduced by using the SDN-architecture.

GUARDIAN: Blockchain-Based Secure Demand Response Management in Smart Grid System

“…The authors selected the meters as miner nodes whose power capacity is more than a threshold value and used these nodes to validate the requests raised by other smart meters. In [28], the authors presented a blockchain-based edge-service framework for secure energy trading in vehicle-to-grid ecosystem. The authors used the concept of approver nodes for secure energy trading, which were responsible for validating the transactions and were selected amongst all the nodes based on a utility function.…”

A Heuristic Angular Clustering Framework for Secured Statistical Data Aggregation in Sensor Networks

“…The packet received ratio was analyzed using statistical measures considering the factors mentioned above and the large scale of the applications [ 29 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. For example, the mean values were considered effective for real-time traffic applications, but event-based applications would prefer median and mode values.…”

“…Figure 6 e shows that the proposed system maintained its stability and achieved an improved packet collection rate compared with the existing system. This work tries to reveal that compared to the existing application-oriented algorithms [ 30 , 31 , 39 , 40 , 41 , 42 , 43 , 44 ], RSC performs better in the event-based and time-critical applications.…”

“…The scenarios and the number of rounds used for evaluating the performance of RSC was inherited from fan-shaped clustering and the only difference is both the algorithms were implemented and evaluated for different statistical measures [ 35 , 36 , 37 , 38 , 39 , 40 , 41 ].…”

Using IDoT Attributes for Secure Power Data Sharing Based on Blockchain Dynamic Access Control

“…In order to prevent security threats such as forgery of energy trading data in previous researches, a system which adopts a blockchain [8] or a method of setting a consumption pattern suitable for a specific situation in consideration of parameters such as user's preference or household appliances . In this study, previous studies [7][8] [9][10] [11] are effective, but they have limitations on user privacy issues. IoT (Internet of Things) Because there is a limitation of computing and storage space of devices, data collected through devices are stored in a single cloud and processed.…”