Mitigation Impact of Energy and Time Delay for Computation Offloading in an Industrial IoT Environment Using Levenshtein Distance Algorithm
Open accessAbstract
Due to the explosive growth of the Internet of things (IoT) devices and the emergence of diverse new applications, network traffic volume is growing exponentially. The traditional centralized network architecture cannot fulfill IoT devices demand because of the heavy network traffic in industrial IoT. Moreover, IoT devices have limited computational ability and battery power. Energy consumption and time delay problems during computation offloading are fundamental issues. A new architecture known as mobile edge computing (MEC) was introduced to overcome these issues, which brings cloud services and its contents to the edge of the network. IoT devices can offload the data for computation to the cloud server or edge nodes. Different schemes have been proposed to overcome this problem under many scenarios (i.e., single-user, multiuser, and vehicular networks). In this paper, we proposed a modified delay mitigation Levenshtein distance algorithm (MDML). We consider an industrial scenario with multiple IoT devices and multiple servers (edge nodes). Each edge node consists of one MEC server. The proposed algorithm solves the offloading optimization problem of energy and mitigation of time delay with much lower complexity while significantly reducing offloading tasks’ execution time. It works on the basis of dynamic programming, where we break down a complex problem into subproblems. Performance evaluation of our proposed algorithm shows that it can achieve satisfactory energy efficiency and mitigate time delay in the industrial IoT environment.
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The Boeing 787 Dreamliner experienced unexpected shutdowns due to a software glitch in its IIoT-enabled electrical system, resulting in performance issues.
“An example of such challenges is the Boeing 787 Dreamliner, which experiencing unexpected shutdowns due to a software glitch in its IIoTenabled electrical system, resulting in performance issues [33].”
From A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario (2023) · cites this paper as [33]
The Introduction and Conclusion discuss industrial IoT, computation offloading, energy use, and delays, but do not address the Boeing 787 Dreamliner. Searches for the aircraft, unexpected shutdowns, a software glitch, and its electrical system found no relevant passage in our copy; the claimed incident cannot be verified from this source. (LLM, conf=0.75)
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Flagged first, then by citations
Research works printed but not linked: 2
- A. Rafq, P. Wang, M. Wei, M. S. Ali Muthanna, and N. N. Josbert, "Mitigation Impact of Energy and Time Delay for Computation Ofoading in an Industrial IoT Environment Using Levenshtein Distance Algorithm," Security and Com- munication Networks, vol. 2022, Article ID 6469380, 12 pages, 2022.
- R. E. Bellman and S. E. Dreyfus, Applied dynamic program- ming, Princeton university press, Princeton, NJ, USA, 2015.
Cited by
Sorted by citations
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“These constraints can result in energy consumption and time delay issues during computation offloading, further exacerbating reliability concerns [33].”
Background
- Authors
- Rafiq, A., Wang, P., Wei, M., Ali Muthanna, M. S., & Josbert, N. N.
- Affiliations
- Chongqing University of Posts and Telecommunications (CN)
- Department of Computer Science, Chongqing University of Posts and Telecommunication, Chongqing 400065, China
- Corresponding author
- Wei, Min
- Venue
- Security and Communication Networks
- Publisher
- Wiley
- Published
- 2022-02-12
- Volume
- 2022
- Pages
- 1-12
- ISSN
- 1939-0114 (ISSN-L)
- 1939-0122
- OpenAlex
- W4213158588
- Cited by
- 7
- References
- 37
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 4 · 2022: 1
- FWCI
- 0.78
- Type
- journal article
- Language
- en
- Status
- Retracted
- Update notices
- retraction (2023-12-06)
- Open access
- hybrid
- doi.org
- Locations
- Security and Communication Networks (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Basic Research Program of China (2020YFB1708800, cstc2021ycjh-bgzxm0206)
- Chongqing Talent Plan Project (2020YFB1708800, cstc2021ycjh-bgzxm0206)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- computation offloading, Industrial Internet of Things, mobile edge computing, energy efficiency, dynamic programming, edge nodes
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