Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach

Seid, Abegaz Mohammed; Abishu, Hayla Nahom; Yacob, Yasin Habtamu; Ayall, Tewodros Alemu; Erbad, Aiman; Guizani, Mohsen

doi:10.1109/tnsm.2022.3197309

Cited by 21 publications

(4 citation statements)

References 65 publications

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“…The work in [39] discussed a resource trading environment of mobile devices and proposed a novel intelligent resource trading framework that integrates multi-agent deep reinforcement Learning, blockchain, and game theory to manage dynamic resource trading environments. However, the formulated optimization problem in a multi-agent environment is too complex and dynamic to solve directly by any game, particularly for the industrial Internet of Things.…”

Section: Energy Trading Systems Based On Multiple Blockchain Networkmentioning

confidence: 99%

Robust Vehicle-to-Grid Energy Trading Method Based on Smart Forecast and Multi-Blockchain Network

Liang,

Wang,

Abdallah

2024

IEEE Access

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In the present era, energy issues are a significant concern, and the energy trading market is the crucial sector to facilitate supply-demand balance and sustainable development. For better demand response and grid balancing, vehicle-to-grid (V2G) technology is rapidly gaining importance in energy markets. To narrow the gap between ideal V2G goals and actual applications needs, energy trading system has to overcome the challenges of over-centralized structure, inflexible timeline adaptation, limited market scale and energy efficiency, excessive feedback time costs, and low rate of economic return. To address these issues and ensure a secure energy market, we propose a decentralized intelligent V2G system called V2G Forecasting and Trading Network (V2GFTN) to achieve efficient and robust energy trading in campus EV networks. A multiple blockchain structure is proposed in V2GFTN to ensure trading security and data privacy between energy requests and offers. V2GFTN also integrates energy forecasting functions for EVs with a smart energy trading and EV allocation mechanism called SRET so that the EVs with driving tasks can supply their extra power back to the grid and achieve higher energy efficiency and economic profit. Through rigorous experimentation and compared with equivalent studies, V2GFTN system has demonstrated higher economic profit and energy demand fill rate by up to 1.6 times and 1.9 times than the state-of-the-art V2G approaches.

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Section: Energy Trading Systems Based On Multiple Blockchain Networkmentioning

confidence: 99%

Robust Vehicle-to-Grid Energy Trading Method Based on Smart Forecast and Multi-Blockchain Network

Liang,

Wang,

Abdallah

2024

IEEE Access

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“…As the Internet of Things (IoT) continues to develop, communication and data sharing among various devices become possible. Unmanned aerial vehicles (UAVs), also known as drones, are utilized in IoT smart gadgets to gather data from multiple sources in sectors such as military, agriculture, parking, and more [1,2]. UAVs can be categorized into multirotor systems and fixed-wing systems, with the latter being more commonly used [3,4].…”

Section: Introductionmentioning

confidence: 99%

UAV-Based Secure Data Communication: Multilevel Authentication Perspective

Aljumah

2024

Sensors

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An Internet of Things (IoT) system for managing and coordinating unmanned aerial vehicles (UAVs) has revolutionized the industrial sector. The largest issue with the design of the Internet of UAVs (IoUAV) is security. Conspicuously, the novel contribution of the proposed work is to develop a layered authentication approach to facilitate safe IoUAV communication. Specifically, four modules, including the pre-deployment module, user registration module, login module, and authentication module, form the basis of security analysis. In the proposed technique, UAVs are added to the IoUAV registry. The next step is the user registration module, where people are registered with the UAV so they may access the information in real time. In the login module, the user connects with the server for data transmission. Finally, in the authentication module, all entities, including users, servers, and UAVs, are authenticated to ensure secure data communication. The proposed method achieves peak performance as compared to the state-of-the-art techniques in terms of statistical parameters of latency (3.255s), throughput (90.15%), and packet loss (8.854%).

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“…Recently, the valuable concepts of consensus schemes, incentive mechanisms, and reputation processes have been studied by many researchers because these schemes can be applied to numerous applications, including blockchain-assisted systems, mobile crowd sensing, authentication services, industrial Internet of things (IIoT) systems, 6G communication systems, and so on [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Furthermore, their applicability has expanded due to being fused with the research into vehicular networks and unmanned aerial vehicles (UAVs) to accomplish the specific missions and requested tasks from users to fit in with the considered systems and platforms [19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

BeneWinD: An Adaptive Benefit Win–Win Platform with Distributed Virtual Emotion Foundation

Kim,

Ben-Othman

2023

Electronics

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In recent decades, online platforms that use Web 3.0 have tremendously expanded their goods, services, and values to numerous applications thanks to its inherent advantages of convenience, service speed, connectivity, etc. Although online commerce and other relevant platforms have clear merits, offline-based commerce and payments are indispensable and should be activated continuously, because offline systems have intrinsic value for people. With the theme of benefiting all humankind, we propose a new adaptive benefit platform, called BeneWinD, which is endowed with strengths of online and offline platforms. Furthermore, a new currency for integrated benefits, the win–win digital currency, is used in the proposed platform. Essentially, the proposed platform with a distributed virtual emotion foundation aims to provide a wide scope of benefits to both parties, the seller and consumer, in online and offline settings. We primarily introduce features, applicable scenarios, and services of the proposed platform. Different from previous systems and perspectives, BeneWinD can be combined with Web 3.0 because it deliberates based on the decentralized or distributed virtual emotion foundation, and the virtual emotion feature and the detected virtual emotion information with anonymity are open to everyone who wants to participate in the platform. It follows that the BeneWinD platform can be connected to the linked virtual emotion data block or win–win digital currency. Furthermore, crucial research challenges and issues are addressed in order to make great contributions to improve the development of the platform.

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Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach

Cited by 21 publications

References 65 publications

Robust Vehicle-to-Grid Energy Trading Method Based on Smart Forecast and Multi-Blockchain Network

Robust Vehicle-to-Grid Energy Trading Method Based on Smart Forecast and Multi-Blockchain Network

UAV-Based Secure Data Communication: Multilevel Authentication Perspective

BeneWinD: An Adaptive Benefit Win–Win Platform with Distributed Virtual Emotion Foundation

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