Journals
Singh, A., Nagar, J., Amutha, J., and Sharma, S. (2025). “sGprAle: Self-supervised Gaussian process regression for average localisation error estimation,” (Major Revision Submitted)
A. Singh, M. H. Seyed, and J. Nagar, "F-TLBO-ID: Fuzzy Fed Teaching Learning Based Optimization Algorithm to Predict the Number of k-barriers for Intrusion Detection," Applied Soft Computing Journal, vol. 151, #111163, 2024. (SCI Impact Factor: 8.7) (Download the PDF)
A. Singh, J. Nagar, J. Amutha and S. Sharma, “P2CA-GAN-ID: Coupling of Probabilistic Principal Components Analysis with Generative Adversarial Networks to predict the k-barriers for Intrusion detection,” Expert Systems with Applications, vol. 211, #118588, Elsevier, 2023. (SCI Impact Factor: 8.5) (Download the PDF)
J. Nagar, S. K. Chaturvedi, S. Soh, and A. Singh "A Machine Learning Approach to Predict the k-Coverage Probability of Wireless Multihop Networks Considering Boundary and Shadowing Effects," Expert Systems with Applications, vol. 226, #120160, Elsevier, 2023. (SCI Impact Factor: 8.5) (Download the PDF)
A. Singh, J. Amutha, J. Nagar, S. Sharma, and C-C. Lee, "A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks," Expert Systems with Applications, vol. 211, 2023. (SCI Impact Factor: 8.5) (Download the PDF)
A. Singh, J. Amutha, J. Nagar, S. Sharma, and C-C. Lee, "AutoML‑ID: Automated Machine Learning Model for Intrusion Detection Using Wireless Sensor Network," Scientific Reports, vol. 12, # 9074, Springer Nature, 2022. (SCI Impact Factor: 4.996) (Download the PDF)
A. Singh, J. Amutha, J. Nagar, S. Sharma, and C-C. Lee, " LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling Based Machine Learning Algorithms to Predict the k-Barrier for Intrusion Detection Using Wireless Sensor Network," Sensors, vol. 22, # 1070, MDPI, 2022. (SCI Impact Factor: 3.847) (Download the PDF)
J. Nagar, S. K. Chaturvedi, S. Soh, "Wireless Multihop Coverage Incorporating Boundary and Shadowing Effects," IETE Technical Review. Taylor & Francis, 2021. DOI: 10.1080/02564602.2021.1968963. (SCI Impact Factor: 1.932) (Download the PDF)
J. Nagar, S. K. Chaturvedi, S. Soh, "An Analytical Model with Boundary Effects to Estimate the Connectivity Metrics of Finite Multihop Networks in Shadowing Environments," Cluster Computing, vol. 25, pp. 187-202, Springer Nature, 2022. (SCI Impact Factor: 2.303)(Download the PDF)
V. Kotiyal, A. Singh, S. Sharma, J. Nagar, and C-C. Lee, "ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks," Sensors, vol. 21, pp. 1-11, MDPI, 2021. (SCI Impact Factor: 3.847) (Download the PDF)
A. Singh, J. Nagar, S. Sharma, and V. Kotiyal, "A Gaussian Process Regression Approach to Predict the k-barrier Coverage Probability for Intrusion Detection in Wireless Sensor Networks," Expert Systems with Applications, vol. 172, pp. 1-11, Elsevier, 2021. (SCI Impact Factor: 8.5) (Download the PDF)
A. Singh, V. Kotiyal, S. Sharma, and J. Nagar, "A Machine Learning Approach to Predict the Average Localisation Error with Applications to Wireless Sensor Networks," IEEE Access, vol. 8, pp. 208253 - 208263, IEEE, 2020. (SCI Impact Factor: 3.745) (Download the PDF)
J. Nagar, S. K. Chaturvedi, S. Soh, "Connectivity Analysis of Finite Wireless Multihop Networks Incorporating Boundary Effects in shadowing Environments," IET Communication, vol. 14, pp. 3686-3698, Wiley, 2020. (SCI Impact Factor: 1.345) (Download the PDF)
J. Amutha, J. Nagar, and S. Sharma, "A Distributed Border Surveillance (DBS) System for Rectangular and Circular Region of Interest with Wireless Sensor Networks in Shadowed Environments," Wireless Personal Communication, vol. 115, pp. 2569–2589, Springer Nature, 2020. (SCI Impact Factor: 2.017) (Download the PDF)
S. Sharma, and J. Nagar, "Intrusion Detection in Mobile Sensor Networks: A Case Study for Different Intrusion Paths," Wireless Personal Communication, vol. 115, pp. 2569–2589, Springer Nature, 2020. (SCI Impact Factor: 2.017) (Download the PDF)
J. Nagar, S. K. Chaturvedi, and S. Soh, "An analytical model to estimate the performance metrics of a finite multihop network deployed in a rectangular region," Journal of Network and Computer Applications, vol. 149, pp. 2569–2589, Elsevier, 2020. (SCI Impact Factor: 7.574) (Download the PDF)
J. Amutha, S. Sharma, and J. Nagar, "WSN Strategies Based on Sensors, Deployment, Sensing Models, Coverage and Energy Efficiency: Review, Approaches, and Open Issues," Wireless Personal Communication, vol. 111, pp. 1089–1115, Springer Nature, 2019. (SCI Impact Factor: 2.017) (Download the PDF)
Book Chapter(s)
J. Nagar, and S. Sharma, "k-Barrier Coverage-Based Intrusion Detection for Wireless Sensor Networks," In Bokhari M., Agrawal N., Saini D. (eds) Cyber Security. Advances in Intelligent Systems and Computing, Springer, Singapore, vol. 729, 2018. (Download the PDF)
Conference Proceedings
J. Nagar, et al., “Information Entropy-Based Scheduling for Communication-Efficient Decentralized Learning,” MLSP 2025, Istanbul, Turkey. (Download the PDF)
S. Kaushal, V. Singh, J. Nagar, and R. S. Raw, "Performance analysis of Angular Location Aided Routing (A-LAR) in VANETs," The International Conference on Communication and Computing Systems, 2017. (Download the PDF)
S. Sharma, J. Nagar, and P. Singh, "Modeling and performance analysis of wireless channel," 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 3052-3057, IEEE, Mar. 2016, New Delhi. (Download the PDF)