Proceedings of the 8th International Conference on Engineering Research, Innovation, and Education 2025 (ICERIE 2025)

E-DRONE (Emergency-Drone Rescue Operation and Networked Environment): IoT-Based Information Relay System for Disaster Response

Authors
Nusaiba Binte Habib1, *, Ayesha Siddika1, Sadman Chowdhury Mihad1, Mahnaj Akter Mou1, Masud Rana1, Dipta Talukder2
1Department of Electrical and Electronic Engineering, Sylhet Engineering College, Sylhet, 3100, Bangladesh
2Department of Computer Science and Engineering (CSE), Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
*Corresponding author. Email: scmihad.ac@gmail.com
Corresponding Author
Nusaiba Binte Habib
Available Online 18 November 2025.
DOI
10.2991/978-94-6463-884-4_76How to use a DOI?
Keywords
IoT,RescueSystem; Autonomous,Navigation; Multi-Sensor; Integration; GPS; Communication
Abstract

Disasters, both natural and human-induced, pose significant threats to human life, particularly in disaster-prone regions like Bangladesh. Efficient and rapid rescue operations are crucial to minimizing casualties and damage. This study presents E-DRONE (Emergency-Drone Rescue Operation and Networked Environment), an IoT-based integrated rescue system designed for autonomous and remote disaster response. The system utilizes advanced technologies, including multi-sensor integration, Ground Penetrating Radar (GPR), Passive Infrared (PIR) sensors, Air Quality Index (AQI) sensors, and ESP32-CAM modules, to detect survivors, assess environmental hazards, and provide real-time situational awareness. A Raspberry Pi 4 microcontroller serves as the central processing unit, ensuring seamless sensor data acquisition, analysis, and cloud transmission. The system leverages LoRa and 5G networks for robust communication, overcoming connectivity challenges in disaster-stricken areas. Real-world simulations demonstrate the system’s ability to enhance search-and-rescue efficiency by providing accurate location mapping, real-time thermal imaging, and AI-driven hazard detection. The results highlight the potential of E-DRONE in improving disaster response times, reducing operational risks, and optimizing resource allocation. Future advancements, including AI-driven autonomous navigation and alternative power solutions, could further enhance its effectiveness, making it a scalable and efficient disaster management tool.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 8th International Conference on Engineering Research, Innovation, and Education 2025 (ICERIE 2025)
Series
Advances in Engineering Research
Publication Date
18 November 2025
ISBN
978-94-6463-884-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-884-4_76How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Nusaiba Binte Habib
AU  - Ayesha Siddika
AU  - Sadman Chowdhury Mihad
AU  - Mahnaj Akter Mou
AU  - Masud Rana
AU  - Dipta Talukder
PY  - 2025
DA  - 2025/11/18
TI  - E-DRONE (Emergency-Drone Rescue Operation and Networked Environment): IoT-Based Information Relay System for Disaster Response
BT  - Proceedings of the 8th International Conference on Engineering Research, Innovation, and Education 2025 (ICERIE 2025)
PB  - Atlantis Press
SP  - 629
EP  - 635
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-884-4_76
DO  - 10.2991/978-94-6463-884-4_76
ID  - Habib2025
ER  -