Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing
Abstract To facilitate flexible manufacturing, modern industries have incorporated numerous modular operations such as multi-robot services which can be expediently arranged or offloaded to other production resources. However, complex manufacturing projects often consist of multiple tasks with fixed...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
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| Online Access: | https://doi.org/10.1186/s13677-025-00726-z |
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| _version_ | 1841544263887749120 |
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| author | Peng Liu Xinglong Wu Yanjun Peng Hangguan Shan Saïd Mahmoudi Bong Jun Choi Haksrun Lao |
| author_facet | Peng Liu Xinglong Wu Yanjun Peng Hangguan Shan Saïd Mahmoudi Bong Jun Choi Haksrun Lao |
| author_sort | Peng Liu |
| collection | DOAJ |
| description | Abstract To facilitate flexible manufacturing, modern industries have incorporated numerous modular operations such as multi-robot services which can be expediently arranged or offloaded to other production resources. However, complex manufacturing projects often consist of multiple tasks with fixed sequences, posing a significant challenge for smart factories in efficiently scheduling limited robot resources to complete specific tasks. Additionally, when projects span across factories, ensuring faithful execution of contracts becomes another challenge. In this paper, we propose a modified combinatorial auction method combined with blockchain and edge computing technologies to organize project scheduling. Firstly, we transform efficient resource scheduling into a resource-constrained multi-project scheduling problem (RCPSP). Subsequently, the solution integrates combinatorial auction with random sampling (CA-RS) into smart contracts. Alongside security analysis, simulations are conducted using real data sets. The results indicate that the suggested CA-RS approach significantly enhances efficiency and security in resource arrangement within the industrial Internet of Things compared to baseline algorithms. |
| format | Article |
| id | doaj-art-19c1760854204b7097d62c77791f6c57 |
| institution | Kabale University |
| issn | 2192-113X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj-art-19c1760854204b7097d62c77791f6c572025-01-12T12:39:53ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2025-01-0114111610.1186/s13677-025-00726-zTrustworthy and efficient project scheduling in IIoT based on smart contracts and edge computingPeng Liu0Xinglong Wu1Yanjun Peng2Hangguan Shan3Saïd Mahmoudi4Bong Jun Choi5Haksrun Lao6School of Computer Science and Technology, Hangzhou Dianzi UniversitySchool of Computer Science and Technology, Hangzhou Dianzi UniversitySchool of Computer Science and Technology, Hangzhou Dianzi UniversityThe College of Information Science and Electronic Engineering, Zhejiang UniversityComputer Science Department, Faculty of Engineering, University of MonsSchool of Computer Science and Engineering, Soongsil University, SeoulOffice of Information Systems, Paragon International UniversityAbstract To facilitate flexible manufacturing, modern industries have incorporated numerous modular operations such as multi-robot services which can be expediently arranged or offloaded to other production resources. However, complex manufacturing projects often consist of multiple tasks with fixed sequences, posing a significant challenge for smart factories in efficiently scheduling limited robot resources to complete specific tasks. Additionally, when projects span across factories, ensuring faithful execution of contracts becomes another challenge. In this paper, we propose a modified combinatorial auction method combined with blockchain and edge computing technologies to organize project scheduling. Firstly, we transform efficient resource scheduling into a resource-constrained multi-project scheduling problem (RCPSP). Subsequently, the solution integrates combinatorial auction with random sampling (CA-RS) into smart contracts. Alongside security analysis, simulations are conducted using real data sets. The results indicate that the suggested CA-RS approach significantly enhances efficiency and security in resource arrangement within the industrial Internet of Things compared to baseline algorithms.https://doi.org/10.1186/s13677-025-00726-zIndustrial Internet of ThingsResources schedulingSmart contractCombinatorial auctionEdge computing |
| spellingShingle | Peng Liu Xinglong Wu Yanjun Peng Hangguan Shan Saïd Mahmoudi Bong Jun Choi Haksrun Lao Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing Journal of Cloud Computing: Advances, Systems and Applications Industrial Internet of Things Resources scheduling Smart contract Combinatorial auction Edge computing |
| title | Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing |
| title_full | Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing |
| title_fullStr | Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing |
| title_full_unstemmed | Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing |
| title_short | Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing |
| title_sort | trustworthy and efficient project scheduling in iiot based on smart contracts and edge computing |
| topic | Industrial Internet of Things Resources scheduling Smart contract Combinatorial auction Edge computing |
| url | https://doi.org/10.1186/s13677-025-00726-z |
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