Current - Issue
Year 2026 · Volume 5 · Issue 3
Original Article
Fault Detection and Performance Improvement in Wireless Sensor Networks Using the Fault Detection Node Scenario (FDNS) Approach
Pooja Sharma1
Dr. Anupa Sinha2
1 2 Department of Computer Science, Kalinga University, Raipur, Chhattisgarh, India.
Published Online: September-December 2026
Pages: 18-25
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260503004References
1. Maravarman Manoharan, Babu Subramani, and Pitchai Ramu, "An optimal energy efficient routing in WSN using adaptive entropy bald eagle search optimization and density based adaptive soft clustering," Sustainable Computing: Informatics and Systems, vol. 43, p. 101003, 2024. doi: 10.1016/j.suscom.2024.101003
2. Saziya Tabbassum and Rajesh Kumar Pathak, "Effective data transmission through energy-efficient clustering and Fuzzy-Based IDS routing approach in WSNs," Virtual Reality & Intelligent Hardware, vol. 6, no. 1, pp. 1-16, 2024. doi: 10.1016/j.vrih.2023.12.001
3. Natalie Temene, Andreas Naoum, Charalampos Sergiou, Chryssis Georgiou, and Vasos Vassiliou, "A fault tolerant node placement algorithm for WSNs and IoT networks," Computer Networks, vol. 254, p. 110835, 2024. doi: 10.1016/j.comnet.2024.1108354. G. Mahalakshmi, S. Ramalingam, and A. Manikandan, "An energy efficient data fault prediction based clustering and routing protocol using hybrid ASSO with MERNN in wireless sensor network," Telecommunication Systems, vol. 86, pp. 61–82, 2024. doi: 10.1007/s11235-023-01089-7
5. G. Kaur and P. Chanak, "An Energy Aware Intelligent Fault Detection Scheme for IoT-Enabled WSNs," IEEE Sensors Journal, vol. 22, no. 5, pp. 4722-4731, 2022. doi: 10.1109/JSEN.2022.3148449
6. Elham Moridi, Majid Haghparast, Mehdi Hosseinzadeh, and Somaye Jafarali Jassbi, "Fault management frameworks in wireless sensor networks: A survey," Computer Communications, vol. 155, pp. 205-226, 2020. doi: 10.1016/j.comcom.2020.03.002
7. Rahul Prasad and Rajendra Kumar Baghel, "Self-detection based fault diagnosis for wireless sensor networks," Ad Hoc Networks, vol. 149, p. 103245, 2023. doi: 10.1016/j.adhoc.2023.103245
8. B. S. Gouda et al., "Distributed Intermittent Fault Diagnosis in Wireless Sensor Network Using Likelihood Ratio Test," IEEE Access, vol. 11, pp. 6958-6972, 2023. doi: 10.1109/ACCESS.2023.3241234
9. Babu N and Santhosh Kumar SVN, "Chaos quantum optimization-based layered diagnosis framework for faulty sensor node diagnosis and classification in wireless sensor networks," International Journal of Communication Systems, vol. 37, no. 11, p. e5793, 2024. doi: 10.1002/dac.5793
10. Balraj L and Prasanth A, "An energy-aware software fault detection system based on hierarchical rule approach for enhancing quality of service in internet of things-enabled wireless sensor network," Transactions on Emerging Telecommunications Technologies, vol. 35, no. 4, p. e4971, 2024. doi: 10.1002/ett.4971
11. Gnanavel S et al., "Analysis of Fault Classifiers to Detect the Faults and Node Failures in a Wireless Sensor Network," Electronics, vol. 11, no. 10, p. 1609, 2022. doi: 10.3390/electronics11101609 (doi.org in Bing)
12. Palanikumar R, Ramasamy K, and Srinivasa Ragavan P, "Faulty node detection and recovery scheme for large-scale wireless sensor network using hosted cuckoo optimization algorithm," International Journal of Communication Systems, vol. 35, no. 9, p. e5143, 2022. doi: 10.1002/dac.5143
13. Nathiya, N., Rajan, C. & Geetha, K. A hybrid optimization and machine learning based energy-efficient clustering algorithm with self-diagnosis data fault detection and prediction for WSN-IoT application. Peer-to-Peer Netw. Appl. 18, 13 (2025). https://doi.org/10.1007/s12083-024-01892-8
14. D., P.K., Sandhya, E., Sk, K.S. et al. Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection. Sci Rep 15, 818 (2025). https://doi.org/10.1038/s41598-024-84421-0
15. Abbas, S. S. A., Dag, T., & Gucluoglu, T. (2025). Optimizing Mobile Base Station Placement for Prolonging Wireless Sensor Network Lifetime in IoT Applications. Applied Sciences, 15(3), 1421. https://doi.org/10.3390/app15031421
16. S. Singh, A. Kumar, Isha, B. Kankane and R. Mishra, "Predicting K-Coverage in Wireless Multihop Networks with Boundary Effects Using Support Vector Regression: A Feature Sensitivity Analysis for Smart City Applications," 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), Greater Noida, India, 2025, pp. 1516-1521, doi: 10.1109/IC3ECSBHI63591.2025.10991299.
17. Othman, S.B., Ali, O. QuanBioTrust: a quantum-enhanced bio-inspired trust framework for next-generation WBANs. Sci Rep 15, 35212 (2025). https://doi.org/10.1038/s41598-025-20860-7
18. Satyanarayana, P., Diwakar, G., Priyanka Brahmaiah, V., Marlin, S., Phani Sai Kumar, N. V., & Gopalakrishnan, S. (2025). Multi-objective-derived efficient energy saving in multipath routing for mobile ad hoc networks with the modified aquila–firefly heuristic strategy. Engineering Optimization, 57(9), 2383–2418. https://doi.org/10.1080/0305215X.2024.2399656
19. Affane M., A.R., Satori, H., Boutazart, Y. et al. Machine Learning-Based Attack Detection for Wireless Sensor Network Security Using Hidden Markov Models. Wireless Pers Commun 135, 1965–1992 (2024). https://doi.org/10.1007/s11277-024-10999-3
20. Khan, M. N. U., Cao, W., Tang, Z., Ullah, A., & Pan, W. (2024). Energy-Efficient De-Duplication Mechanism for Healthcare Data Aggregation in IoT. Future Internet, 16(2), 66. https://doi.org/10.3390/fi16020066
21. M. R and M. R, "Swarm Based Searching Method for Effective Sinkhole Attack Detection in Internet of Things," 2024 International Conference on Computing, Sciences and Communications (ICCSC), Ghaziabad, India, 2024, pp. 1-7, doi: 10.1109/ICCSC62048.2024.10830331.
22. Ritika and S. Kumar, "Improved Tree-Based Data Dissemination Protocol to Prolong Lifetime of Sensor Nodes for Internet of Things," 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC), Greater Noida, India, 2023, pp. 997-1002, doi: 10.1109/PEEIC59336.2023.10451211.
23. Ritika and S. Kumar, "Improved Tree-Based Data Dissemination Protocol to Prolong Lifetime of Sensor Nodes for Internet of Things," 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC), Greater Noida, India, 2023, pp. 997-1002, doi: 10.1109/PEEIC59336.2023.10451211.
24. M. Pahuja and D. Kumar, "Energy-Efficient Stable Election Protocol for IoT-Based Healthcare Systems Using Wireless Sensor Networks," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10307041.
2. Saziya Tabbassum and Rajesh Kumar Pathak, "Effective data transmission through energy-efficient clustering and Fuzzy-Based IDS routing approach in WSNs," Virtual Reality & Intelligent Hardware, vol. 6, no. 1, pp. 1-16, 2024. doi: 10.1016/j.vrih.2023.12.001
3. Natalie Temene, Andreas Naoum, Charalampos Sergiou, Chryssis Georgiou, and Vasos Vassiliou, "A fault tolerant node placement algorithm for WSNs and IoT networks," Computer Networks, vol. 254, p. 110835, 2024. doi: 10.1016/j.comnet.2024.1108354. G. Mahalakshmi, S. Ramalingam, and A. Manikandan, "An energy efficient data fault prediction based clustering and routing protocol using hybrid ASSO with MERNN in wireless sensor network," Telecommunication Systems, vol. 86, pp. 61–82, 2024. doi: 10.1007/s11235-023-01089-7
5. G. Kaur and P. Chanak, "An Energy Aware Intelligent Fault Detection Scheme for IoT-Enabled WSNs," IEEE Sensors Journal, vol. 22, no. 5, pp. 4722-4731, 2022. doi: 10.1109/JSEN.2022.3148449
6. Elham Moridi, Majid Haghparast, Mehdi Hosseinzadeh, and Somaye Jafarali Jassbi, "Fault management frameworks in wireless sensor networks: A survey," Computer Communications, vol. 155, pp. 205-226, 2020. doi: 10.1016/j.comcom.2020.03.002
7. Rahul Prasad and Rajendra Kumar Baghel, "Self-detection based fault diagnosis for wireless sensor networks," Ad Hoc Networks, vol. 149, p. 103245, 2023. doi: 10.1016/j.adhoc.2023.103245
8. B. S. Gouda et al., "Distributed Intermittent Fault Diagnosis in Wireless Sensor Network Using Likelihood Ratio Test," IEEE Access, vol. 11, pp. 6958-6972, 2023. doi: 10.1109/ACCESS.2023.3241234
9. Babu N and Santhosh Kumar SVN, "Chaos quantum optimization-based layered diagnosis framework for faulty sensor node diagnosis and classification in wireless sensor networks," International Journal of Communication Systems, vol. 37, no. 11, p. e5793, 2024. doi: 10.1002/dac.5793
10. Balraj L and Prasanth A, "An energy-aware software fault detection system based on hierarchical rule approach for enhancing quality of service in internet of things-enabled wireless sensor network," Transactions on Emerging Telecommunications Technologies, vol. 35, no. 4, p. e4971, 2024. doi: 10.1002/ett.4971
11. Gnanavel S et al., "Analysis of Fault Classifiers to Detect the Faults and Node Failures in a Wireless Sensor Network," Electronics, vol. 11, no. 10, p. 1609, 2022. doi: 10.3390/electronics11101609 (doi.org in Bing)
12. Palanikumar R, Ramasamy K, and Srinivasa Ragavan P, "Faulty node detection and recovery scheme for large-scale wireless sensor network using hosted cuckoo optimization algorithm," International Journal of Communication Systems, vol. 35, no. 9, p. e5143, 2022. doi: 10.1002/dac.5143
13. Nathiya, N., Rajan, C. & Geetha, K. A hybrid optimization and machine learning based energy-efficient clustering algorithm with self-diagnosis data fault detection and prediction for WSN-IoT application. Peer-to-Peer Netw. Appl. 18, 13 (2025). https://doi.org/10.1007/s12083-024-01892-8
14. D., P.K., Sandhya, E., Sk, K.S. et al. Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection. Sci Rep 15, 818 (2025). https://doi.org/10.1038/s41598-024-84421-0
15. Abbas, S. S. A., Dag, T., & Gucluoglu, T. (2025). Optimizing Mobile Base Station Placement for Prolonging Wireless Sensor Network Lifetime in IoT Applications. Applied Sciences, 15(3), 1421. https://doi.org/10.3390/app15031421
16. S. Singh, A. Kumar, Isha, B. Kankane and R. Mishra, "Predicting K-Coverage in Wireless Multihop Networks with Boundary Effects Using Support Vector Regression: A Feature Sensitivity Analysis for Smart City Applications," 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), Greater Noida, India, 2025, pp. 1516-1521, doi: 10.1109/IC3ECSBHI63591.2025.10991299.
17. Othman, S.B., Ali, O. QuanBioTrust: a quantum-enhanced bio-inspired trust framework for next-generation WBANs. Sci Rep 15, 35212 (2025). https://doi.org/10.1038/s41598-025-20860-7
18. Satyanarayana, P., Diwakar, G., Priyanka Brahmaiah, V., Marlin, S., Phani Sai Kumar, N. V., & Gopalakrishnan, S. (2025). Multi-objective-derived efficient energy saving in multipath routing for mobile ad hoc networks with the modified aquila–firefly heuristic strategy. Engineering Optimization, 57(9), 2383–2418. https://doi.org/10.1080/0305215X.2024.2399656
19. Affane M., A.R., Satori, H., Boutazart, Y. et al. Machine Learning-Based Attack Detection for Wireless Sensor Network Security Using Hidden Markov Models. Wireless Pers Commun 135, 1965–1992 (2024). https://doi.org/10.1007/s11277-024-10999-3
20. Khan, M. N. U., Cao, W., Tang, Z., Ullah, A., & Pan, W. (2024). Energy-Efficient De-Duplication Mechanism for Healthcare Data Aggregation in IoT. Future Internet, 16(2), 66. https://doi.org/10.3390/fi16020066
21. M. R and M. R, "Swarm Based Searching Method for Effective Sinkhole Attack Detection in Internet of Things," 2024 International Conference on Computing, Sciences and Communications (ICCSC), Ghaziabad, India, 2024, pp. 1-7, doi: 10.1109/ICCSC62048.2024.10830331.
22. Ritika and S. Kumar, "Improved Tree-Based Data Dissemination Protocol to Prolong Lifetime of Sensor Nodes for Internet of Things," 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC), Greater Noida, India, 2023, pp. 997-1002, doi: 10.1109/PEEIC59336.2023.10451211.
23. Ritika and S. Kumar, "Improved Tree-Based Data Dissemination Protocol to Prolong Lifetime of Sensor Nodes for Internet of Things," 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC), Greater Noida, India, 2023, pp. 997-1002, doi: 10.1109/PEEIC59336.2023.10451211.
24. M. Pahuja and D. Kumar, "Energy-Efficient Stable Election Protocol for IoT-Based Healthcare Systems Using Wireless Sensor Networks," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10307041.
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