Blockchain Technology with Applications to Distributed Control and Cooperative Robotics: A Survey

Khan, Ameer Tamoor; Cao, Xinwei; Li, Shuai; Milošević, Zoran

doi:10.5430/ijrc.v2n1p36

Cited by 6 publications

(6 citation statements)

References 39 publications

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“…Different mechanisms such as trust establishment, reputation-based trust, trust measurement techniques [2], [100], [193]- [195] have been well studied in literature to provide trust-worthy resources. Recently, blockchain technology has become popular to address the security and privacy concerns in multi-agent cloud robotics [196]- [200]. • How efficiently resources can interact?…”

Section: A Resource Poolingmentioning

confidence: 99%

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Afrin

Jin

Rahman

et al. 2021

IEEE Commun. Surv. Tutorials

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Robotic applications nowadays are widely adopted to enhance operational automation and performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0, agriculture, healthcare, and disaster management. These applications are composed of latency-sensitive, data-heavy, and compute-intensive tasks. The robots, however, are constrained in the computational power and storage capacity. The concept of multi-agent cloud robotics enables robotto-robot cooperation and creates a complementary environment for the robots in executing large-scale applications with the capability to utilize the edge and cloud resources. However, in such a collaborative environment, the optimal resource allocation for robotic tasks is challenging to achieve. Heterogeneous energy consumption rates and application of execution costs associated with the robots and computing instances make it even more complex. In addition, the data transmission delay between local robots, edge nodes, and cloud data centres adversely affects the real-time interactions and impedes service performance guarantee. Taking all these issues into account, this paper comprehensively surveys the state-of-the-art on resource allocation and service provisioning in multi-agent cloud robotics. The paper presents the application domains of multi-agent cloud robotics through explicit comparison with the contemporary computing paradigms and identifies the specific research challenges. A complete taxonomy on resource allocation is presented for the first time, together with the discussion of resource pooling, computation offloading, and task scheduling for efficient service provisioning. Furthermore, we highlight the research gaps from the learned lessons, and present future directions deemed beneficial to further advance this emerging field.

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Section: A Resource Poolingmentioning

confidence: 99%

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Afrin

Jin

Rahman

et al. 2021

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

show abstract

“…Blockchain, by its very nature, lends itself to use in ensuring the cooperation of autonomous entities, as emphasized by researchers in [127]. Their study, which begun with the goal of finding an efficient, scalable, and effective way to allow the control of large groups of robotic entities, arrived at the conclusion that blockchain would serve as an effective means [127]. This conclusion was reached due to the known benefits blockchain has above similar methods in privacy, security, and decentralized network incorporation [127].…”

Section: Application Of Blockchain In Collective Decisionmentioning

confidence: 99%

“…Their study, which begun with the goal of finding an efficient, scalable, and effective way to allow the control of large groups of robotic entities, arrived at the conclusion that blockchain would serve as an effective means [127]. This conclusion was reached due to the known benefits blockchain has above similar methods in privacy, security, and decentralized network incorporation [127]. Through its incorporation, it is reasonable to expect that its incorporation may also gain such benefits into AVs, which would be a significant step forward towards their wide-scale implementation and acceptance.…”

Section: Application Of Blockchain In Collective Decisionmentioning

confidence: 99%

Blockchain Applications to Improve Operation and Security of Transportation Systems: A Survey

2021

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Blockchain technology continues to grow and extend into more areas with great success, which highlights the importance of studying the fields that have been, and have yet to be, fundamentally changed by its entrance. In particular, blockchain technology has been shown to be increasingly relevant in the field of transportation systems. More studies continue to be conducted relating to both fields of study and their integration. It is anticipated that their existing relationships will be greatly improved in the near future, as more research is conducted and applications are better understood. Because blockchain technology is still relatively new as compared to older, more well-used methods, many of its future capabilities are still very much unknown. However, before they can be discovered, we need to fully understand past and current developments, as well as expert observations, in applying blockchain technology to the autonomous vehicle field. From an understanding and discussion of the current and potential future capabilities of blockchain technology, as provided through this survey, advancements can be made to create solutions to problems that are inherent in autonomous vehicle systems today. The focus of this paper is mainly on the potential applications of blockchain in the future of transportation systems to be integrated with connected and autonomous vehicles (CAVs) to provide a broad overview on the current related literature and research studies in this field.

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“…The potentials and challenges of using blockchain and smart contracts in developing applications for Industry 4.0 are studied and surveyed in [41]. The research of [42] surveys blockchain technology on its working principles and elements in distributed control and cooperative robotics, which highly demands secure and distributed mechanisms.…”

Section: Literature Reviewmentioning

confidence: 99%

A Distributed-Ledger, Edge-Computing Architecture for Automation and Computer Integration in Semiconductor Manufacturing

Liao¹

2020

GJCST

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Contemporary 300mm semiconductor manufacturing systems have highly automated and digitalized cyber-physical integration. They suffer from the profound problems of integrating large, centralized legacy systems with small islands of automation. With the recent advances in disruptive technologies, semiconductor manufacturing has faced dramatic pressures to reengineer its automation and computer integrated systems. This paper proposes a Distributed-Ledger, Edge-Computing Architecture (DLECA) for automation and computer integration in semiconductor manufacturing. Based on distributed ledger and edge computing technologies, DLECA establishes a decentralized software framework where manufacturing data are stored in distributed ledgers and processed locally by executing smart contracts at the edge nodes. We adopt an important topic of automation and computer integration for semiconductor research &development (R&D) operations as the study vehicle to illustrate the operational structure and functionality, applications, and feasibility of the proposed DLECA software framework.

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Blockchain Technology with Applications to Distributed Control and Cooperative Robotics: A Survey

Cited by 6 publications

References 39 publications

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey

Blockchain Applications to Improve Operation and Security of Transportation Systems: A Survey

A Distributed-Ledger, Edge-Computing Architecture for Automation and Computer Integration in Semiconductor Manufacturing

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