Dominating Sets-Based Approach for Maximizing Lifetime of IoT-Based Heterogeneous WSNs Enabled Sustainable Smart City Applications Article Swipe
Bader Alwasel
,
Ahmed Salim
,
Ahmed M. Khedr
,
Walid Osamy
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3379425
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3379425
The versatility and diverse applications of IoT-based Heterogeneous WSN (HWSN) technologies make them valuable tools for achieving sustainability goals in Sustainable Smart Cities (SSCs). Proper management of underlying heterogeneous architecture is crucial for the successful operation of smart applications. To prolong the WSN’s lifespan and avoid failures, effective energy management is essential. Although researchers are continually exploring heterogeneity in WSN, it gets more and more important to create cost-effective paradigms that cover multiple facets of SSC while ensuring their stability and reliability. The concept of Dominating Sets (DS) in a graph can be leveraged to minimize resource utilization in WSNs by arranging nodes into disjoint DS, with only one set executing duties at any given time. In this work, we propose a novel technique for IoT-based HWSNs-enabled SSC, called EADDSA, utilizing the DS concept to plan the sleep-and-awake scheme for heterogeneous nodes, based on their resource capabilities. We propose a new algorithm, called the Energy Attentive Algorithm (EAA), to find disjoint DSs that are energy-aware. EAA algorithm attentively tries to form the set that maximizes lifespan while adhering to DS conditions in each iteration. EADDSA further incorporates an effective DS scheduling strategy to enhance the HWSN lifetime by establishing operational guidelines for each round, taking into account the estimated lifetimes and the designated number of working rounds for each DS. This enables efficient allocation of data sensing and gathering tasks across the network minimizes resource usage, and extends network lifetime.
Related Topics
Concepts
Computer science
Wireless sensor network
Distributed computing
Disjoint sets
Efficient energy use
Heterogeneous network
Scheduling (production processes)
Computer network
Wireless
Wireless network
Mathematical optimization
Engineering
Telecommunications
Electrical engineering
Mathematics
Combinatorics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3379425
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10475180.pdf
- OA Status
- gold
- Cited By
- 7
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392979953
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392979953Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2024.3379425Digital Object Identifier
- Title
-
Dominating Sets-Based Approach for Maximizing Lifetime of IoT-Based Heterogeneous WSNs Enabled Sustainable Smart City ApplicationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Bader Alwasel, Ahmed Salim, Ahmed M. Khedr, Walid OsamyList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2024.3379425Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/10475180.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10475180.pdfDirect OA link when available
- Concepts
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Computer science, Wireless sensor network, Distributed computing, Disjoint sets, Efficient energy use, Heterogeneous network, Scheduling (production processes), Computer network, Wireless, Wireless network, Mathematical optimization, Engineering, Telecommunications, Electrical engineering, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 4Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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