I-OPC: An intelligent optimal path computation system using critical path prediction and deep learning for a time-sensitive network Article Swipe
Safa’a S. Saleh
,
Iman Alansari
,
Mounira Kezadri Hamiaz
,
Waleed M. Ead
,
Rana A. Tarabishi
,
Mohamed Farouk
,
Hatem Khater
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2023.10.025
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2023.10.025
Latency and energy are critical issues when working with time and power-constrained wireless sensor networks. To avoid wasting both time and energy, such systems require selecting optimal communication routes with minimum latency and energy. The energy and latency costs between sender and destination nodes are greatly affected by the occurrence of transmission holes (black hole and grey hole). Therefore, selecting the optimal path must consider the probability of transmission holes and investigate their impact on energy and latency costs. Based on these problems of silent failures, the current work, proposes i-OPC as an intelligent and effective system to address these problems by forecasting sources of such silent failures and resolving them before they occur. The proposed method uses a customized routing schedule and a multi-objective mathematical optimization approach to rank all candidate paths between the source and destination nodes. In addition, i-OPC implements a machine learning technique using deep learning to predict the energy and latency costs of the future location for mobile nodes (). Also, it determines if the future locations of mobile nodes can result in black holes. Experiments produces promising results in terms of delay, energy consumption, packet delivery rate and hole detection rate against existing methods.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.aej.2023.10.025
- OA Status
- gold
- Cited By
- 5
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388519703
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388519703Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.aej.2023.10.025Digital Object Identifier
- Title
-
I-OPC: An intelligent optimal path computation system using critical path prediction and deep learning for a time-sensitive networkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-09Full publication date if available
- Authors
-
Safa’a S. Saleh, Iman Alansari, Mounira Kezadri Hamiaz, Waleed M. Ead, Rana A. Tarabishi, Mohamed Farouk, Hatem KhaterList of authors in order
- Landing page
-
https://doi.org/10.1016/j.aej.2023.10.025Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.aej.2023.10.025Direct OA link when available
- Concepts
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Computer science, Latency (audio), Energy consumption, Wireless sensor network, Network packet, Schedule, Real-time computing, Efficient energy use, Data transmission, Distributed computing, Computer network, Engineering, Telecommunications, Electrical engineering, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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48Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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