Blockchain-enabled cyber-physical smart modular integrated construction

Jiang, Yishuo; Liu, Xinlai; Kang, Kai; Wang, Zicheng; Zhong, Ray Y.; Huang, George Q.

doi:10.1016/j.compind.2021.103553

Cited by 70 publications

(23 citation statements)

References 44 publications

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“…The network includes the parameters listed in Table 2. EDB-CPS was compared with the state-of-the-art methods: A-CPS [26], BSMIC [27], and StreamLAB [33]. Based on the testing process, the following results were calculated:…”

Section: Testing Resultsmentioning

confidence: 99%

“…• throughput; • hop-to-hop delay. IA-CPS [26], BSMIC [27], and StreamLAB [33] Mobility (speed of the nodes) 0 m/s to 20 m/s…”

Section: Testing Resultsmentioning

confidence: 99%

“…The results in Table 3 confirm the effectiveness of our proposed model (EDB-CPS). The model proposed in Reference [27] only supports static sensors, whereas our proposed model supports static and mobile robot sensors. To handle mobile sensors, a lattice mobility model can be deployed.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…This model permits the connection of different types of devices with the system; however, there is a possibility of transmission failure. A CPS based on a blockchain-enabled smart modular integrated construction (BSMIC) model was introduced in Reference [27]. A practical roadmap was used for the design, development, placement, and application of BSMIC with new guidelines and opportunities.…”

Section: Related Workmentioning

confidence: 99%

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An Efficient Data-Balancing Cyber-Physical System Paradigm for Quality-of-Service (QoS) Provision over Fog Computing

et al. 2021

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Cyber-physical systems (CPSs) have greatly contributed to many applications. A CPS is capable of integrating physical and computational capabilities to interact with individuals through various new modalities. However, there is a need for such a paradigm to focus on the human central nervous system to provide faster data access. This paper introduces the CPS paradigm that consists of CPS enabled human brain monitoring (CPS-HBM) and efficient data-balancing for CPS (EDB-CPS). The CPS-HBM provides architectural support to make an efficient and secure transfer and storage of the sensed data over fog cloud computing. The CPS-HBM consists of four components: physical domain and data processing (PDDP), brain sensor network (BSN), Service-oriented architecture (SOA), and data management domain (DMD). The EDB-CPS module aims to balance data flow for obtaining better throughput and lower hop-to-hop delay. The EDB-CPS accomplishes the goal by employing three processes: A node advertisement (NA), A node selection and recruitment (NSR), and optimal distance determination with mid-point (ODDMP). The processes of the EDB-CPS are performed on the PDDP of the CPS-HBM module. Thus, to determine the validity of EDB-CPS, the paradigm was programmed with C++ and implemented on a network simulator-3 (NS3). Finally, the performance of the proposed EDB-CPS was compared with state-of-the-art methods in terms of hop-to-hop delay and throughput. The proposed EDB-CPS produced better throughput between 443.2–445.2 KB/s and 0.05–0.078 ms hop-to-hop delay.

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Section: Testing Resultsmentioning

confidence: 99%

“…• throughput; • hop-to-hop delay. IA-CPS [26], BSMIC [27], and StreamLAB [33] Mobility (speed of the nodes) 0 m/s to 20 m/s…”

Section: Testing Resultsmentioning

confidence: 99%

Section: Discussion Of Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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An Efficient Data-Balancing Cyber-Physical System Paradigm for Quality-of-Service (QoS) Provision over Fog Computing

et al. 2021

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“…Some of the greatest features of blockchain technology is the transparency and traceability of transactions on the shared ledger, which are characteristics that can improve the information management in a BIM model. For example, several studies have proposed a blockchain system for governing a construction project, where a tamperresistant record of project progress is maintained and tracked over time (Hamledari and Fischer, 2021c;Jiang et al, 2021;Lee et al, 2021;Shojaei, Flood, et al, 2020). Smart contracts enable the automatic recording of each step in the BIM model, which can lead to significantly fewer disputes over construction progress.…”

Section: Fig 7: Distribution Of Papers By Bim-blockchain Application ...mentioning

confidence: 99%

An analysis of blockchain technology and smart contracts for Building Information Modeling

Chung¹,

Caldas²,

Leite³

2022

ITcon

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Significant changes in the construction industry have been brought about by Building Information Modeling (BIM). While BIM has improved team collaboration and workflow efficiency, the model still faces multiple challenges. These are related primarily to the security, transparency, and reliability of the data shared in the model. A potential way to mitigate these problems, according to many studies, is blockchain technology. This paper reviews the recent literature on the integration of BIM and blockchain technology. Using a rigorous search-and-selection process, the authors conducted a systematic literature review by analyzing 70 studies relevant to BIM-blockchain integration. The state-of-the-art review explains how studies have implemented blockchain technology and provides an overview of different levels of adoption. Various application areas within the BIM process are explored to understand the ongoing research trend. The authors discuss limitations and offer recommendations on how best to implement future work in BIM-blockchain integration.

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