Artificial Intelligence Inspired Transmission Scheduling in Cognitive Vehicular Communications and Networks

Zhang, Ke; Leng, Supeng; Peng, Xin; Pan, Li; Maharjan, Sabita; Yan, Zhang

doi:10.1109/jiot.2018.2872013

Cited by 136 publications

(54 citation statements)

References 26 publications

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“…Combined with edge computing, the emerging edge AI has already become the last mile of artificial intelligence for IoT [20] [21]. Once appeared, it received a tremendous amount of interest.…”

Section: B Edge Intelligence For Iotmentioning

confidence: 99%

Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design

Lin

Bashir

et al. 2022

IEEE Internet Things J.

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Recently, edge artificial intelligence techniques (e.g., federated edge learning) are emerged to unleash the potential of big data from Internet of Things (IoT). By learning knowledge on local devices, data privacy-preserving and quality of service (QoS) are guaranteed. Nevertheless, the dilemma between the limited on-device battery capacities and the high energy demands in learning is not resolved. When the on-device battery is exhausted, the edge learning process will have to be interrupted. In this paper, we propose a novel Wirelessly Powered Edge intelliGence (WPEG) framework, which aims to achieve a stable, robust, and sustainable edge intelligence by energy harvesting (EH) methods. Firstly, we build a permissioned edge blockchain to secure the peer-to-peer (P2P) energy and knowledge sharing in our framework. To maximize edge intelligence efficiency, we then investigate the wirelessly-powered multi-agent edge learning model and design the optimal edge learning strategy. Moreover, by constructing a two-stage Stackelberg game, the underlying energy-knowledge trading incentive mechanisms are also proposed with the optimal economic incentives and power transmission strategies. Finally, simulation results show that our incentive strategies could optimize the utilities of both parties compared with classic schemes, and our optimal learning design could realize the optimal learning efficiency.

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Section: B Edge Intelligence For Iotmentioning

confidence: 99%

Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design

Lin

Bashir

et al. 2022

IEEE Internet Things J.

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“…Some studies discuss the resource allocation problem in vehicular IoT environments. In [ 41 ], the transmission scheduling problem in cognitive vehicular environment was discussed. The importance of handling an efficient handover in V2X communications was discussed in [ 42 ].…”

Section: Blockchain and The Vehicular Internet Of Thingsmentioning

confidence: 99%

Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues

Peng

Gao

et al. 2020

Sensors

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The vehicular Internet of Things (IoT) comprises enabling technologies for a large number of important applications including collaborative autonomous driving and advanced transportation systems. Due to the mobility of vehicles, strict application requirements, and limited communication resources, the conventional centralized control fails to provide sufficient quality of service for connected vehicles, so a decentralized approach is required in the vicinity to satisfy the requirements of delay-sensitive and mission-critical applications. A decentralized system is also more resistant to the single point of failure problem and malicious attacks. Blockchain technology has been attracting great interest due to its capability of achieving a decentralized, transparent, and tamper-resistant system. There are many studies focusing on the use of blockchain in managing data and transactions in vehicular environments. However, the application of blockchain in vehicular environments also faces some technical challenges. In this paper, we first explain the fundamentals of blockchain and vehicular IoT. Then, we conduct a literature review on the existing research efforts of the blockchain for vehicular IoT by discussing the research problems and technical issues. After that, we point out some future research issues considering the characteristics of both blockchain and vehicular IoT.

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“…As shown above, the rise of new technologies (e.g. Internet of Vehicles, [34][35][36][37] Heterogeneous Sensor Networks, [38][39][40][41][42][43] Edge Computing, 44,45 Smart City, 46 Blockchain) [47][48][49] makes CIA unsuitable. In this section, we will answer two fundamental problems: which security properties are fundamental?…”

Section: Connotation Of Information Securitymentioning

confidence: 99%

Hierarchically defining Internet of Things security: From CIA to CACA

Liu

Fang

et al. 2020

International Journal of Distributed Sensor Networks

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With the rapid development of Internet of Things technology (e.g. wireless sensor networks), security has become a global issue. Confidentiality, integrity, and availability (known as the CIA triangle) is widely used to define and model information security. However, this CIA triangle is insufficient to address rapidly changing security requirements. In this article, we divide information systems into four layers: physical layer, operational layer, data layer, and content layers (PODC). Corresponding, hierarchy of information security is proposed. Furthermore, we define the basic security properties for each layer and show that the four properties (i.e. confidentiality, availability, controllability, and authentication, called CACA) are minimally complete and independent for information security. Based on PODC and CACA, a new definition of information security is proposed, which acts as a secure foundation for information systems.

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Artificial Intelligence Inspired Transmission Scheduling in Cognitive Vehicular Communications and Networks

Cited by 136 publications

References 26 publications

Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design

Blockchain-Based Incentive Energy-Knowledge Trading in IoT: Joint Power Transfer and AI Design

Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues

Hierarchically defining Internet of Things security: From CIA to CACA

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