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Volume 13 | Issue 7 | Year 2026 | Article Id. IJECE-V13I7P125 | DOI : https://doi.org/10.14445/23488549/IJECE-V13I7P125

Edge–Cloud Intelligence in Disaster Management: A Review of Architectures, Challenges, and Opportunities

Priyanka R, Ramya M V, Roopa M, Shashidhar R

Received Revised Accepted Published
23 Apr 2026 06 Jun 2026 17 Jun 2026 29 Jul 2026

Citation :

Priyanka R, Ramya M V, Roopa M, Shashidhar R, "Edge–Cloud Intelligence in Disaster Management: A Review of Architectures, Challenges, and Opportunities," International Journal of Electronics and Communication Engineering, vol. 13, no. 7, pp. 347-368, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I7P125

Abstract

Natural disasters are happening more often and with more force, which puts a lot of stress on disaster management systems. They require fast, reliable and sustainable technologies. In conventional centralized systems, there are problems with latency, network congestion and a requirement for continuous connectivity. These can slow down the early detection and rapid response. In this study, the Smart Disaster Alert Response System (SDARS), a new approach that integrates cloud computing, edge computing, and green computing to enhance resilience, cut down latency and ensure sustainability. SDARS relies on IoT sensors that constantly monitor the environment, and edge nodes that do initial data processing to provide real-time alerts with low latency. The cloud allows for big data analysis to be conducted to gain predictive knowledge and optimise resource allocation. Energy-efficient (green computing) techniques are also used to conserve energy and extend the lifespan of devices in low-energy environments. The experimental evaluation of SDARS reveals that it can raise alarms in less than a second, consumes 35% less energy compared to conventional systems and continues to operate despite network partition. In conclusion, the proposed model demonstrates how distributed computing techniques with energy-aware techniques can result in scalable and sustainable disaster response systems.

Keywords

Cloud computing, Disaster Management, Edge computing, Green computing, IoT.

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