Open Access
Issue
ITM Web Conf.
Volume 82, 2026
International Conference on NextGen Engineering Technologies and Applications for Sustainable Development (ICNEXTS’25)
Article Number 02009
Number of page(s) 7
Section Communication and Networking
DOI https://doi.org/10.1051/itmconf/20268202009
Published online 04 February 2026
  1. Y. Aitamar and J. E. Abbadi, “MeanC-IQR: Enhanced Fault Detection in WSNs for Smart Farming,” 2024 7th International Conference on Advanced Communication Technologies and Networking (CommNet), Rabat, Morocco, 2024, pp. 1-4, doi: 10.1109/CommNet63022.2024.10793385. [Google Scholar]
  2. Y. Singh, R. Rathi, R. Prasad and R. K. Baghel, “Fault Detection in Wireless Sensor Networks Using Autoencoder Classifier,” 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India, 2023, pp. 1563-1568, doi: 10.1109/IC3I59117.2023.10397796. [Google Scholar]
  3. A. T, A. A and S. D, “Context Aware Fault Tolerance Data Gathering in IoT Enabled WSN,” 2025 IEEE Wireless Antenna and Microwave Symposium (WAMS), Chennai, India, 2025, pp. 1-5, doi: 10.1109/WAMS64402.2025.11158542. [Google Scholar]
  4. D. Bishnoi and Y. Chaba, “Enhanced Fault Detection and Tolerance in Wireless Sensor Networks Using Recurrent Long-Short Function Harmonic Network with Hybrid CNN-LSTM Model,” 2025 International Conference on Computer, Information and Telecommunication Systems (CITS), Colmar, France, 2025, pp. 1-6, doi: 10.1109/CITS65975.2025.11099370. [Google Scholar]
  5. A. F. Khayrullaev, “Remote Monitoring of Low Voltage Opl With Power Theft and Fault Detection Using Wsn,” 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS), Tashkent, Uzbekistan, 2024, pp. 1367-1372, doi:10.1109/ICTACS62700.2024.10840884. [Google Scholar]
  6. S. Mohapatra and B. Shrimali, “Fault Detection in Forest Fire Monitoring Using Negative Selection Approach,” 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), Rajkot, India,2023, pp. 732-736, doi: 10.1109/R10-HTC57504.2023.10461878. [Google Scholar]
  7. V. Devi, R. Kumar and V. Kumar, “Energy Efficient Transmission and Fault Tolerance in WSN-Based IoT Network using HS-EDEEC and Probability Based Approach,” 2024 International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S),Una,India,2024,pp.1-8,doi: 10.1109/ICIC3S61846.2024.10603249. [Google Scholar]
  8. P. Iswarya and K. Manikandan, “Algorithms for Fault Detection and Diagnosis in Wireless Sensor Networks Using Deep Learning and Machine Learning - An Overview,” 2024 10th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2024, pp. 1404-1409, doi: 10.1109/ICCSP60870.2024.10543904. [Google Scholar]
  9. R. Prasad, R. K. Baghel and P. V. Sanjay, “XGBoost based Fault Detection for Wireless Sensor Networks,” 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2024, pp. 1-5, doi: s10.1109/SCEECS61402.2024.10481941. [Google Scholar]
  10. A. A, A. T and S. D, “Intelligent fault tolerance data gathering in IoT enabled WSN,” 2025 1st International Conference on Radio Frequency Communication and Networks (RFCoN), Thanjavur, India, 2025, pp. 16, doi: 10.1109/RFCoN62306.2025.11085324. [Google Scholar]
  11. V. Nandalal, A. Muruganandham, S. Karthikeyan, J. L. M. Iqbal and T. Manikandan, “Fault Detection and Diagnosis in Wireless Sensor Networks Leveraging Transformer Models,” 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES), Lucknow, India, 2024, pp. 1-5, doi: 10.1109/IC3TES62412.2024.10877448. [Google Scholar]
  12. H. A. Obaid, S. Sheel, S. R. Alatba, M. Saleem and H. Alabdeli, “Clustering-Based Wireless Sensor Networks Fault Detection Using Recovering Approach,” 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), Coimbatore, India, 2024, pp. 739-744, doi: 10.1109/ICSSEECC61126.2024.10649436. [Google Scholar]
  13. M. C. Moshakga, A. Yahya, R. Samikannu, C. Kalpana, M. Sivaramkrishnan and K. M. Begam, “A Wireless Sensor Network-Based Monitoring System for Transformer Fault Detection and Diagnosis,” 2023 International Conference on Emerging Work in Computational Science (ICERCS), Coimbatore, India, 2023, pp. 1-6, doi: 10.1109/ICERCS57948.2023.10434122. [Google Scholar]
  14. B. S. Gouda et al., “Distributed Intermittent Fault Diagnosis in Wireless Sensor Network Using Likelihood Ratio Test,” in IEEE Access, vol. 11, pp. 6958-6972, 2023, doi: 10.1109/ACCESS.2023.3236880. [Google Scholar]
  15. A. Adamova, T. Zhukabayeva and Y. Mardenov, “Machine Learning in Action: An Analysis of its Application for Fault Detection in Wireless Sensor Networks,” 2023 IEEE International Conference on Smart Information Systems and Technologies (SIST), Astana, Kazakhstan, 2023, pp. 506-511, doi: 10.1109/SIST58284.2023.10223548. [Google Scholar]

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