Cited by 15Indoor and Outdoor Localization TechnologiesMetaheuristic Optimization Algorithms ResearchEnergy Efficient Wireless Sensor Networks

Repulsion-based grey wolf optimizer with improved exploration and exploitation capabilities to localize sensor nodes in 3D wireless sensor network

Abuaddous, Hayfa Y., Kaur, Goldendeep, Jyoti, Kiran, Mittal, Nitin, Mahajan, Shubham, Pandit, Amit Kant, Alsoud, Anas Ratib, Abualigah, Laith·2023·Soft Computing

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Crossref · 10.1007/s00500-022-07590-y

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45 of 45 references verified0 citation errors · 0 not checkable

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  • A repulsion-based improved grey wolf optimizer for sensor node localization outperforms the traditional Global Positioning System.

    “Another technique is using a repulsion-based improved grey wolf optimizer for the sensor nodes localization that outperforms the traditional Global Positioning System [26].”

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Authors
Abuaddous, H. Y., Kaur, G., Jyoti, K., Mittal, N., Mahajan, S., Pandit, A. K., Alsoud, A. R., & Abualigah, L.
Affiliations
  • Amman Arab University (JO)
  • Guru Nanak Dev University (IN)
  • Chandigarh University (IN)
  • Ajeenkya DY Patil University (IN)
  • Shri Mata Vaishno Devi University (IN)
  • Al-Ahliyya Amman University (JO)
Corresponding author
Mittal, Nitin
Venue
Soft Computing
Published
2022-11-11
Volume
27
Issue
7
Pages
3869-3885
ISSN
  • 1432-7643 (ISSN-L)
  • 1433-7479
OpenAlex
W4308799148
Cited by
15
References
45
Citations by year
2026: 3 · 2025: 7 · 2024: 3 · 2023: 2
FWCI
0.82
Type
journal article
Language
en
Open access
closed
Locations
Soft Computing (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
Keywords
grey wolf optimizer, sensor node localization, 3D wireless sensor networks, anchor node placement, exploration-exploitation balance, metaheuristic optimization, localization error

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