Blockchain technology for energy‐aware mobile crowd sensing approaches in Internet of Things

Sisi, Zhu; Souri, Alireza

doi:10.1002/ett.4217

Cited by 51 publications

(21 citation statements)

References 53 publications

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“…Blockchain technology, apart from cryptocurrency (e.g., Bitcoin), has been used to further enhance and optimise existing solutions such as cloud storage (e.g., [197]), authentication (e.g., [198]), health-care (e.g., [199]), and more. Integrating blockchain allows to have a clear audit trail of the data and models used to verify the machine decision process, which will lead to increasing the device's trustworthiness [200]. The latter is of extreme importance in machine-to-machine communication.…”

Section: Intelligent Thingsmentioning

confidence: 99%

AI for Next Generation Computing: Emerging Trends and Future Directions

Gill,

Xu,

Ottaviani

et al. 2022

Preprint

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Autonomic computing investigates how systems can achieve (user) specified "control" outcomes on their own, without the intervention of a human operator. Autonomic computing fundamentals have been substantially influenced by those of control theory for closed and open-loop systems. In practice, complex systems may exhibit a number of concurrent and inter-dependent control loops. Despite research into autonomic models for managing computer resources, ranging from individual resources (e.g., web servers) to a resource ensemble (e.g., multiple resources within a data center), research into integrating Artificial Intelligence (AI) and Machine Learning (ML) to improve resource autonomy and performance at scale continues to be a fundamental challenge. The integration of AI/ML to achieve such autonomic and self-management of systems can be achieved at different levels of granularity, from full to human-in-the-loop automation. In this article, leading academics, researchers, practitioners, engineers, and scientists in the fields of cloud computing, AI/ML, and quantum computing join to discuss current research and potential future directions for these fields. Further, we discuss challenges and opportunities for leveraging AI and ML in next generation computing for emerging computing paradigms, including cloud, fog, edge, serverless and quantum computing environments.

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Section: Intelligent Thingsmentioning

confidence: 99%

AI for Next Generation Computing: Emerging Trends and Future Directions

Gill,

Xu,

Ottaviani

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Along with the development of scaling technology, some security issues are also drawing attention and many related studies [19][20][21][22] have started to be proposed. As the technology tends to mature, applications of blockchain [23,24] in various scenarios continue to emerge.…”

Section: Backgroundsmentioning

confidence: 99%

A Multipath Payment Scheme Supporting Proof of Payment

Qian

You

2022

Wireless Communications and Mobile Computing

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Blockchain technology has always been plagued by performance problems. Given this problem, many scaling schemes have been put forward. A layer 2 network is a technology that solves the performance problem of blockchain. Connected parties in this network can set up channels to send digital currency to each other. Since the interaction with the blockchain is only required when the channel is established and closed, a large number of transactions do not need to be recorded on the blockchain, thus reducing the blockchain capacity. Due to the special structure of the payment channel, the distribution of funds in the channel is often unbalanced, which limits the route payment to a certain extent. This paper improves the original payment method in the second layer network by introducing new scripts. The new payment scheme supports proof of payment which is integral to the nature of the lightning network and divides the payment into several subpayments, so the large payment can be divided into relatively small payments. Due to the capacity limitation of the payment channel, theoretically, the success rate of the micropayment route is higher. This paper tests the new payment scheme on the simulated network and validates the nature of this solution to have a high routing success rate while supporting proof of payment.

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“…This can be realized via AWS Lambda or Google Cloud Functions 19 . Further, super-scale data integrity requires quick hash calculation in Blockchain based frameworks which can further leverage quantum computers to develop systems that are versatile to data characteristics 13,20,14,21 . For volatile IoT environments, multi-agent AI and flexible learning frameworks are required 11,6,22 .…”

Section: New Trends and Future Directionsmentioning

confidence: 99%

Quantum and blockchain based Serverless edge computing: A vision, model, new trends and future directions

Gill

2021

Internet Technology Letters

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Serverless computing has become an important cloud model delivering service to users based on the amount of resources consumed by the Internet of Things (IoT) applications. Edge computing can be utilized for Serverless computing to process small or deadline oriented jobs efficiently at edge devices helping to reduce latency. Furthermore, security and computation speed have become important challenges for Serverless edge computing. Blockchain and Quantum computing can be used to provide secure and reliable edge Serverless service while also improving security and computation speed respectively. This letter identifies and integrates various emerging paradigms to develop a conceptual model for Quantum and Blockchain based Serverless edge computing. Promising future research directions and open challenges are also discussed.

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Blockchain technology for energy‐aware mobile crowd sensing approaches in Internet of Things

Cited by 51 publications

References 53 publications

AI for Next Generation Computing: Emerging Trends and Future Directions

AI for Next Generation Computing: Emerging Trends and Future Directions

A Multipath Payment Scheme Supporting Proof of Payment

Quantum and blockchain based Serverless edge computing: A vision, model, new trends and future directions

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