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Publications

Publications

  • T. Erlebach, M. Hoffmann, M. S. de Lima: Round-Competitive Algorithms for Uncertainty Problems with Parallel Queries. Algorithmica, 15 September 2022. [https://doi.org/10.1007/s00453-022-01035-6]
  • T. Erlebach, M. S. de Lima, N. Megow, J. Schlöter: Learning-Augmented Query Policies for Minimum Spanning Tree with Uncertainty.  In: Proceedings of the 30th Annual European Symposium on Algorithms (ESA 2022), LIPIcs 244, pp. 49:1–49:18, 2022. [https://doi.org/10.4230/LIPIcs.ESA.2022.49]
    Also: https://arxiv.org/abs/2206.15201 [cs.DS]
  • T. Erlebach, J. T. Spooner: Exploration of k-edge-deficient temporal graphs. Acta Informatica 59:387–407, 2022. [https://doi.org/10.1007/s00236-022-00421-5]
  • T. Erlebach, J. T. Spooner: Parameterized temporal exploration problems. 1st Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2022), LIPIcs 221, pp. 15:1-15:17, 2022. [https://doi.org/10.4230/LIPIcs.SAND.2022.15]
  • K. Luo, T. Erlebach, Y. Xu: Car-sharing between two locations: Online scheduling with flexible advance bookings. Discrete Applied Mathematics 313:53-66, 2022. [https://doi.org/10.1016/j.dam.2022.01.016]
  • U. Demirbaga and G. S. Aujla, “MapChain: A Blockchain-based Verifiable Healthcare Service Management in IoT-based Big Data Ecosystem,” in IEEE Transactions on Network and Service Management, Sept. 2022, doi: 10.1109/TNSM.2022.3204851. [https://ieeexplore.ieee.org/document/9878261]
  • R. Chaudhary, G. S. Aujla, N. Kumar, and P. K. Chouhan. “A comprehensive survey on software‐defined networking for smart communities.” International Journal of Communication Systems (2022). [https://onlinelibrary.wiley.com/doi/full/10.1002/dac.5296]
  • M. P. Singh, A. Singh, G. S. Aujla, R. Singh Bali and A. Jindal, “Referenced Blockchain Approach for Road Traffic Monitoring in a Smart City using Internet of Drones,” ICC 2022 – IEEE International Conference on Communications, 2022, pp. 1-6, doi: 10.1109/ICC45855.2022.9838264. [https://ieeexplore.ieee.org/document/9838264]
  • N. K. Panigrahy, T. Vasantam, P. Basu, D. Towsley, A. Swami, K. K. Leung, “On the Analysis and Evaluation of Proximity Based Load Balancing Policies,” in ACM Transactions on Modeling and Performance Evaluation of Computing Systems, July 2022. [https://dl.acm.org/doi/abs/10.1145/3549933]
  • C. Qiu, G. S. Aujla, J. Jiang, W. Wen and P. Zhang, “Rendering Secure and Trustworthy Edge Intelligence in 5G-Enabled IIoT using Proof of Learning Consensus Protocol,” in IEEE Transactions on Industrial Informatics, June 2022. [https://ieeexplore.ieee.org/document/9789427]
  • F. Habeeb, K. Alwasel, A. Noor, D. N. Jha, D. Alqattan, Y. Li, G. S. Aujla, T. Szydlo, R. Ranjan, “Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum,” in IEEE Transactions on Industrial Informatics, April 2022. [https://ieeexplore.ieee.org/document/9762563]
  • H. Cao, H. Zhao, A. Jindal, G. S. Aujla and L. Yang, “Energy-Efficient Virtual Resource Allocation of Slices in Vehicles-Assisted B5G Networks,” in IEEE Transactions on Green Communications and Networking, March 2022. [https://ieeexplore.ieee.org/document/9733912]
  • P. Zhang, Y. Wang, G. S. Aujla, A. Jindal and Y. D. Al-Otaibi, “A Blockchain-Based Authentication Scheme and Secure Architecture for IoT-Enabled Maritime Transportation Systems,” in IEEE Transactions on Intelligent Transportation Systems, March 2022. [https://ieeexplore.ieee.org/document/9745459]
  • A. U. Rahman, F. Fourati, K-H. Ngo, A. Jindal, M-S. Alouini, “Network Graph Generation Through Adaptive Clustering and Infection Dynamics: A Step Toward Global Connectivity” accepted for publication in IEEE Communication letters, Jan 2022. [https://arxiv.org/abs/2111.10690]
  • T. Vasantam, D. Towsley, “A throughput optimal scheduling policy for a quantum switch,” Proc. SPIE 12015, Quantum Computing, Communication, and Simulation II, 1201505 (1 March 2022). [https://doi.org/10.1117/12.2616950]
  • A. Murthy, MR. Asghar, W. Tu, “Towards a data‐driven framework for optimizing security‐efficiency tradeoff in QUIC”, Security and Privacy, vol. 5, no. 1, e184, Jan 2022. [https://onlinelibrary.wiley.com/doi/abs/10.1002/spy2.184?casa_token=hhgP_9s1x1AAAAAA:eAI_LRvYbc9wAoIPH3hP5Rysvi4Z0nSOujfPpKd4W2DZQu9-G8ufWBeq5eDba4xo-TKdT2K21IzHjiM]
  • M. Singh, G.S. Aujla, R.S. Bali, “Derived blockchain architecture for security-conscious data dissemination in edge-envisioned Internet of Drones ecosystem,” Cluster Computing, vol. 11 pp. 1-22, Jan 2022. [https://link.springer.com/article/10.1007/s10586-021-03497-9#citeas]
  • X. Ren, S. Vashisht, G.S. Aujla, P. Zhang, “Drone-Edge Coalesce for Energy-Aware and Sustainable Service Delivery for Smart City Applications,” Sustainable Cities and Society, Vol. 77, 2022. [https://www.sciencedirect.com/science/article/abs/pii/S221067072100771X]
  • M. P. Singh, G. S. Aujla and R. S. Bali, “An Unorthodox Security Framework using Adapted Blockchain Architecture for Internet of Drones,” 2021 IEEE Globecom Workshops (GC Wkshps), 2021, pp. 1-6, doi: 10.1109/GCWkshps52748.2021.9682109. [https://ieeexplore.ieee.org/document/9682109]
  • P. Zhang, C. Wang, G. S. Aujla and R. S. Batth, “ReLeDP: Reinforcement-Learning-Assisted Dynamic Pricing for Wireless Smart Grid,” in IEEE Wireless Communications, vol. 28, no. 6, pp. 62-69, December 2021. [https://ieeexplore.ieee.org/document/9690152]
  • Q. Hu and W. Tu, “A Vehicle Message Scheduling Scheme For Vehicle Trust Management,” 2021 IEEE 46th Conference on Local Computer Networks (LCN), 2021, pp. 407-410, 2021. [https://ieeexplore.ieee.org/document/9524964]
  • M. Abdollahi, K. Malekinasab, W. Tu and M. Bag-Mohammadi, “An Efficient Metric for Physical-layer Jammer Detection in Internet of Things Networks,” 2021 IEEE 46th Conference on Local Computer Networks (LCN), 2021, pp. 209-216, 2021. [https://ieeexplore.ieee.org/document/9524936]
  • S. Wang, E. Toreini and F. Hao, “Anti-Counterfeiting for Polymer Banknotes Based on Polymer Substrate Fingerprinting,” in IEEE Transactions on Information Forensics and Security, 2021. [https://ieeexplore.ieee.org/document/9381886]
  • P. Berenbrink, R. Elsässer, T. Friedetzky, D. Kaaser, P. Kling and T. Radzik, “Time-space trade-offs in population protocols for the majority problem”, Distributed Computing, vol. 34, pp. 91–111, 2021. [https://link.springer.com/article/10.1007/s00446-020-00385-0]
  • X. Ren, G. S. Aujla, A. Jindal, R. S. Batth and P. Zhang, “Adaptive Recovery Mechanism for SDN Controllers in Edge-Cloud supported FinTech Applications,” in IEEE Internet of Things Journal, 2021. [https://ieeexplore.ieee.org/document/9372305]
  • W. Tu, “A Seamless and Efficient Transition Algorithm For Aerial Drone Multicasting,” 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), 2021, pp. 1-6, 2021. [https://ieeexplore.ieee.org/document/9369559]
  • S. Garg, G. S. Aujla, A. Erbad, J. J. P. C. Rodrigues, M. Chen and X. Wang, “Blockchain Envisioned Drones: Realizing 5G-Enabled Flying Automation,” in IEEE Network, vol. 35, no. 1, pp. 16-19, January/February 2021. [https://ieeexplore.ieee.org/document/9355047]
  • K. Heeger, D. Hermelin, G.B. Mertzios, H. Molter, R. Niedermeier and D. Shabtay, “Equitable scheduling on a single machine”, 35th AAAI Conference on Artificial Intelligence (AAAI). Vancouver, Canada, 2021. [https://arxiv.org/abs/2010.04643]
  • Z. Wen, S. Garg, G.S. Aujla, K. Alwasel, D. Puthal, S. Dustdar, A.Y. Zomaya and R. Rajan, “Running Industrial Workflow Applications in a Software-defined Multi-Cloud Environment using Green Energy Aware Scheduling Algorithm,” in IEEE Transactions on Industrial Informatics, January 2021. [https://ieeexplore.ieee.org/document/9298863]
  • A. Singh, G. S. Aujla, R. Singh Bali, P. K. Chahal and M. Singh, “A Self Organised Workload Classification and Scheduling Approach in IoT-Edge-Cloud Ecosystem,” 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), Victoria, BC, Canada, 2020, pp. 1-5. [https://ieeexplore.ieee.org/document/9348511]
  • C. Wang, R. S. Batth, P. Zhang, G. S. Aujla, Y. Duan and L. Ren, “VNE solution for network differentiated QoS and security requirements: from the perspective of deep reinforcement learning”, Computing (2021). [https://link.springer.com/article/10.1007/s00607-020-00883-w]