Reliable Traffic Monitoring Mechanisms Based on Blockchain in Vehicular Networks

Guo, Jianxiong; Ding, Xingjian; Wu, Weili

doi:10.1109/tr.2020.3046556

Cited by 34 publications

(17 citation statements)

References 28 publications

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“…The chance of creating a duplicate block is almost zero which ensures no duplication in the process of data acquisition. As every block is authorized in the blockchain, the data acquired through blockchain enabled acquisition systems in the metaverse will be reliable [47].…”

Section: Blockchain For the Metaverse: Technical Perspectivementioning

confidence: 99%

Blockchain for the Metaverse: A Review

Gadekallu¹,

Huynh‐The²,

Wang³

et al. 2022

Preprint

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Since Facebook officially changed its name to Metaverse in Oct. 2021, the metaverse has become a new norm of social networks and three-dimensional (3D) virtual worlds. The metaverse aims to bring 3D immersive and personalized experiences to users by leveraging many pertinent technologies. Despite great attention and benefits, a natural question in the metaverse is how to secure its users' digital content and data. In this regard, blockchain is a promising solution owing to its distinct features of decentralization, immutability, and transparency. To better understand the role of blockchain in the metaverse, we aim to provide an extensive survey on the applications of blockchain for the metaverse. We first present a preliminary to blockchain and the metaverse and highlight the motivations behind the use of blockchain for the metaverse. Next, we extensively discuss blockchain-based methods for the metaverse from technical perspectives, such as data acquisition, data storage, data sharing, data interoperability, and data privacy preservation. For each perspective, we first discuss the technical challenges of the metaverse and then highlight how blockchain can help. Moreover, we investigate the impact of blockchain on key-enabling technologies in the metaverse, including Internet-of-Things, digital twins, multi-sensory and immersive applications, artificial intelligence, and big data. We also present some major projects to showcase the role of blockchain in metaverse applications and services. Finally, we present some promising directions to drive further research innovations and developments towards the use of blockchain in the metaverse in the future.

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Section: Blockchain For the Metaverse: Technical Perspectivementioning

confidence: 99%

Blockchain for the Metaverse: A Review

Gadekallu¹,

Huynh‐The²,

Wang³

et al. 2022

Preprint

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“…In this study, they explored various authors’ works. Guo et al [ 54 ] discussed the reliable traffic monitoring model based on the blockchain for vehicular networks [ 55 ]. In these networks, real-time traffic monitoring is a fundamental problem.…”

Section: Next-generation Advancements In the Internet Of Things (Iot)...mentioning

confidence: 99%

A Step toward Next-Generation Advancements in the Internet of Things Technologies

Amin

Abbasi

Mateen

et al. 2022

Sensors

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The Internet of Things (IoT) devices generate a large amount of data over networks; therefore, the efficiency, complexity, interfaces, dynamics, robustness, and interaction need to be re-examined on a large scale. This phenomenon will lead to seamless network connectivity and the capability to provide support for the IoT. The traditional IoT is not enough to provide support. Therefore, we designed this study to provide a systematic analysis of next-generation advancements in the IoT. We propose a systematic catalog that covers the most recent advances in the traditional IoT. An overview of the IoT from the perspectives of big data, data science, and network science disciplines and also connecting technologies is given. We highlight the conceptual view of the IoT, key concepts, growth, and most recent trends. We discuss and highlight the importance and the integration of big data, data science, and network science along with key applications such as artificial intelligence, machine learning, blockchain, federated learning, etc. Finally, we discuss various challenges and issues of IoT such as architecture, integration, data provenance, and important applications such as cloud and edge computing, etc. This article will provide aid to the readers and other researchers in an understanding of the IoT’s next-generation developments and tell how they apply to the real world.

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“…The authors of this work focused on formulating two mathematical models: value of transaction relaying and value of block verification, and developed the optimal contract to maximize utility of the miners. Further, the work in [8] proposed a lightweight blockchain-based information trading framework to model the interactions between traffic administration and vehicles in the reputation-based DPoS mechanism via a budgeted auction approach. This study paid attention to the optimization of the mining profit by using a truthful budgeted selection and pricing algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…This feature is very useful in practical application scenarios, e.g., decentralized edge data sharing and decentralized edge data caching in MEC networks. Another motivation behind the integration of blockchain in MEC is its immutability that makes edge data records, e.g., IoT data, unchangeable once they are stored on the ledger [8]. By deploying immutable transaction ledgers, EDs can establish reliable communications to perform heterogeneous networking and computation, such as large-scale IoT collaborations or mobile edge computing over trustless IoT environments.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning

Nguyen¹,

Ding²,

Pathirana³

et al. 2021

Preprint

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The convergence of mobile edge computing (MEC) and blockchain is transforming the current computing services in mobile networks, by offering task offloading solutions with security enhancement empowered by blockchain mining. Nevertheless, these important enabling technologies have been studied separately in most existing works. This article proposes a novel cooperative task offloading and block mining (TOBM) scheme for a blockchain-based MEC system where each edge device not only handles data tasks but also deals with block mining for improving the system utility. To address the latency issues caused by the blockchain operation in MEC, we develop a new Proof-of-Reputation consensus mechanism based on a lightweight block verification strategy. A multi-objective function is then formulated to maximize the system utility of the blockchain-based MEC system, by jointly optimizing offloading decision, channel selection, transmit power allocation, and computational resource allocation. We propose a novel distributed deep reinforcement learning-based approach by using a multi-agent deep deterministic policy gradient algorithm. We then develop a game-theoretic solution to model the offloading and mining competition among edge devices as a potential game, and prove the existence of a pure Nash equilibrium. Simulation results demonstrate the significant system utility improvements of our proposed scheme over baseline approaches.

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Reliable Traffic Monitoring Mechanisms Based on Blockchain in Vehicular Networks

Cited by 34 publications

References 28 publications

Blockchain for the Metaverse: A Review

Blockchain for the Metaverse: A Review

A Step toward Next-Generation Advancements in the Internet of Things Technologies

Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning

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