Deep Reinforcement Learning-Based IRS-UAV Assisted Communication for Reliable Connectivity in Adverse Conditions Itika Sharma, Sumeet Gupta, Sachin Kumar Gupta 2025 3rd International Conference on Computational Intelligence and Network Systems Cins 2025, 2025 Reliable wireless communication in challenging environments such as disaster-affected areas, remote rural regions, and dense urban zones remains a critical issue due to dynamic channel conditions, limited infrastructure, and unpredictable user mobility. This paper presents a Deep Reinforcement Learning (DRL)-enabled Intelligent Reflecting Surface (IRS) assisted Unmanned Aerial Vehicle (UAV) communication framework aimed at enhancing Quality of Service (QoS) parameters. The proposed system employs a DRL agent to jointly optimize UAV trajectory and IRS beamforming configuration in real time, enabling the network to adapt to environmental variations, interference dynamics, and fluctuating user demands. By continuously interacting with the communication environment, the DRL framework learns optimal control strategies that ensure efficient spectrum utilization, reduced transmission delays, and improved link stability. Extensive simulations are performed across diverse operational scenarios, showcasing the system's adaptability and robustness under varying terrain and mobility patterns. Results demonstrate that the DRL-enabled IRS-UAV framework consistently outperforms conventional UAV-only and static IRS-UAV configurations, achieving substantial improvements in QoS metrics and delivering reliable connectivity even under highly dynamic and adverse conditions. The findings confirm the potential of DRL-driven IRS-UAV communication systems as a transformative solution for next-generation wireless networks in challenging environments.
Role of UAVs during disaster in urban or city block environment Yogesh Shastri, Sachin Kumar Gupta, Amina Khan, Sumeet Gupta High Performance Automation Methods for Computational Intelligent Systems Design and Enabling Technologies, 2025 After natural or man-made disasters, search and rescue efforts are essential for preserving lives and reducing casualties. Unmanned aerial vehicles (UAVs) have become crucial resources in such operations since they allow for the speedy and effective collection of data from difficult-to-reach locations. A rapid, widespread incident that significantly damages, destroys, or disrupts a highly populated urban area is referred to as a disaster in a city block or urban environment. Urban areas frequently feature a large number of buildings, electrical lines, trees, and other obstacles, which can make it difficult for UAVs to navigate. The path planner has to assess the surrounding area, detect possible obstacles, and create avoidance routes while taking into account the UAV’s flight capabilities and limitations. For search and rescue operations, damage assessment, or the delivery of emergency supplies during catastrophe scenarios, time is of the essence. In order to reduce response time, the UAV’s path planner must optimize the trajectory while taking into account the UAV’s limited resources such as battery life, payload capacity, etc. In order to improve UAV trajectory, path smoothing involves fine-tuning the initial path created by path planning with the goal of removing sharp curves or abrupt changes in direction to produce a smoother and more continuous path. In this study, we focus on path planning and smoothing for UAV navigation in city block or urban environment. The objective of this chapter is to provide efficient and secure paths that enable UAVs move from a specified start position to a goal position while avoiding obstacles, minimizing flight time and also enhancing the UAVs’ stability and reducing energy consumption. This chapter shows the positions of UAVs in city block or urban disaster area and UAVs positioned in such a way that they can cover the entire disaster area and can provide coverage to all users or survivors trapped in the disaster area. In this chapter, MATLAB toolbox is used to implement the above study.
Health Hazard Minimization Using Collaborative Multi-UAVs for Coverage Extension in Urban Scenario Gmsarn International Journal, 2025
Smart Card-Based Mutual Authentication Mechanism for UAV Networks Samikhsha Gupta, Sumeet Gupta, Sachin Gupta 2024 IEEE International Conference on Communication Computing and Signal Processing Iicccs 2024, 2024 The frequency and severity of disasters have increased, necessitating robust monitoring and response systems over the years. Unmanned Aerial vehicles (UAVs), integrated into the Internet of Drones (IoDs), play a crucial role in real-time disaster management. This study proposes a mutual authentication mechanism for UAV networks based on smart cards, which emphasizes security and low computing overhead. Hashes and EX-OR operations guarantee efficient and secure communication, tackling important threats like impersonation, Man-In-the-Middle, identity guessing, etc. Additionally, our Scyther tool and BAN logic simulation ensures that private information is protected when producing a shared key. Results are compared to relatable authentication techniques, and protocol performance exceeds prior research. Emergency data transfer is quicker due to the protocol's minimal computing costs.
UAV-Enabled Disaster Management: Applications, Open Issues, And Challenges Gmsarn International Journal, 2024
UAV-enabled disaster management: Applications, open issues, and challenges Advanced Computer Science Applications Recent Trends in AI Machine Learning and Network Security, 2023
Blockchain Based Secure Architecture for Electronic Healthcare Record Management Gmsarn International Journal, 2022
Emerging UAV technology for disaster detection, mitigation, response, and preparedness Amina Khan, Sumeet Gupta, Sachin Kumar Gupta Journal of Field Robotics, 2022 Abstract In recent years, Unmanned Aerial Vehicles (UAVs) have gained significant interest in research groups due to the wide range of applications, such as disaster surveillance and monitoring, rescue operations, military, civil, and so forth. UAVs are most often used to fulfill both user's services and requirements such as wireless communication facilities to end‐users, as a relay node to extend the coverage of the core network, and so forth. UAVs are versatile in design and can cover larger areas, contrary to the Tethered Balloon and Loon Balloon systems. Generally in any natural or human‐made disaster, there is a high potential risk of damage to buildings, transport systems, communication systems, and basic services. During heavy disasters like landslides, forest fires, floods, earthquakes, and so forth, the conventional terrestrial communication system gets destroyed, and people face many problems. In this case, UAVs prove to offer a better solution to provide fast, cost‐effective, easy to deploy, and secure wireless communication to the victims. But there are some issues like interference between UAVs and other base stations, coordination between UAVs, Quality of Service requirements, Size, Weight, and Power limitation, delay, coverage, positioning of UAVs, and so forth. This study article mainly highlighted these issues and try to present the recent developments of the state‐of‐the‐art to overcome these issues. In UAV communications, with an increasing emphasis on how UAVs can be integrated with different technologies, such as the Internet of Things, Wireless Sensor Network, Heterogeneous Network, and Cloud computing. The primary aim of this article is to examine how UAVs can assist survivors in floods, earthquakes, tsunamis, or in any natural or human‐made disaster situations, either in the present or soon. Also, it focused on various applications of UAVs in disaster management (DM). It underlines the significance of UAVs in DM and their advantages. It also focuses on the various issues and challenges faced by the UAV‐based infrastructure and security issues and gives future directions.
Identity-Based Encryption in UAV Assisted HetNets: A Survey Aabid Rashid, Diwankshi Sharma, Tufail A. Lone, Sumeet Gupta, Sachin Kr. Gupta 2019 10th International Conference on Computing Communication and Networking Technologies Icccnt 2019, 2019
Secure Communication in UAV Assisted HetNets: A Proposed Model Aabid Rashid, Diwankshi Sharma, Tufail A. Lone, Sumeet Gupta, Sachin Kumar Gupta Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019