Post-Disaster Resilient Communication through Infrastructure-Free Networks
DOI:
https://doi.org/10.5614/itbj.ict.res.appl.2026.20.1.2Keywords:
PLR, post-disaster communication, RCM, resilience, victimAbstract
Traditional communication systems are often disrupted during disasters, leaving communities disconnected and interrupting the exchange of essential information. In these circumstances, a reliable communication approach is critical for coordinating relief and recovery activities. This work presents a Resilient Communication Model (RCM), an infrastructure-free solution designed to enhance post-disaster communication. The model relies on dynamic, self-organizing links between nearby devices, allowing victims and rescuers to communicate effectively. Due to its lightweight and flexible design, the system is particularly well-suited for basic devices, which are more likely to remain functional in crisis conditions. Simulation studies and comparative evaluations with other algorithms demonstrate that the model minimizes packet loss ratios (PLR), delay, and enhances communication stability, packet delivery ratio (PDR) and throughput during network disruptions. Practical experiments across diverse scenarios further confirm the model?s feasibility and resilience. Overall, the findings demonstrate that the model can reliably function as a fallback communication system when standard networks are unavailable.
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References
Akyildiz, I.F., Melodia, T. & Chowdhury, K.R., A Survey on Wireless Multimedia Sensor Networks, Comput Netw, 51(4), pp. 921-960, 2007.
Meissner, A., Luckenbach, T., Risse, T., Kirste, T. & Kirchner, H., Design Challenges for an Integrated Disaster Management Communication and Information System, Proceedings of the IEEE International Workshop on Disaster Recovery Networks (DIREN), 2002.
Yates, D. & Paquette, S., Emergency Knowledge Management and Social Media Technologies: A Case Study of the 2010 Haitian Earthquake, Int J Inf Manage., 31(1), pp. 6-13, 2011.
Yadav, P. & Upadhyay, P.K., Disaster Management and Role of Communication Technology, Int J Eng Adv Technol., 8(3), pp.138-141, 2018.
Chatzimichailidou, M.M. & Tselikas, N.D., A Survey on Delay/Disruption Tolerant Networks for Emergency Communications, Ad Hoc Netw., 25, pp. 287-298, 2015.
Conti, M. & Giordano, S., Mobile Ad Hoc Networking: Milestones, Challenges, and New Research Directions, IEEE Commun Mag., 52(1), pp. 85-89, 2014.
Reuters. Deadly floods hit Nigeria, India and Bangladesh. Available from: https://www.reuters.com/sustainability/sustainable-switch-deadly-floods-hit-nigeria-india-bangladesh-2025-06-04 (20 June 2026)
The Guardian. ?I don?t want to be here. But we can?t go home?: Life for people forced to flee floods and conflict. 2025 May 23, Available from: https://www.theguardian.com/global-development/2025/may/23/floods-trauma-displaced-conflict-climate-crisis-safety-bangladesh (20 June 2026)
Al Jazeera. Bangladesh Flash Floods Leave Millions Stranded. 2024. Available from: https://www.aljazeera.com/news/2024 (20 June 2026)
Sahil, Sood SK. Bibliometric monitoring of research performance in ICT-based disaster management literature. Qual Quant. 2021;55:103-132.
Mohan P, Mittal H. Review of ICT usage in disaster management. Int J Inf Technol. 2020;12:955-962.
Okada H. An overview of aerial wireless relay networks for emergency communications during large-scale disasters. IEICE Trans Commun. 2020;E103-B:1376-1384.
Mozaffari M, Saad W, Bennis M, Debbah M. Mobile unmanned aerial vehicles (UAVs) for energy-efficient Internet of Things communications. IEEE Trans Wirel Commun. 2017;16(11):7574-7589.
Coppola DP. Introduction to international disaster management. 2nd ed. Butterworth-Heinemann; 2011.
Wendling, C., Radisch, J. & Jacobzone, S., The Use of Social Media in Risk and Crisis Communication, OECD Working Papers on Public Governance, 24, 2013.
Ahmed, R., Johnson, P. & Lee, K., Satellite Communication Systems in Disaster Management, J Disaster Res., 14(3), pp. 235-247, 2021.
Kim, S. & Park, J., Deployable Mobile Base Stations for Disaster Response, IEEE Commun Surv Tutor, 21(2), pp.1525-1540, 2019.
Sarkar, R., Islam, R., Islam, M.I. & Hasan, M.R. & Rahman, M.Z., Empowering Resilience in Post-Disaster Communication with Low-End Communication Devices, pp. 1-6, 2023. doi: 10.1109/ICCIT60459.2023.10441485
Chaudhary, A., Krotov, A., Poon, A., Bojovic, B., et al. The network simulator website, 2008. Available from: https://www.nsnam.org. (20 June 2026)
Perkins, C.E. & Royer, E.M., Ad Hoc On-Demand Distance Vector Routing. Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applications (WMCSA ?99), pp. 90-100, 1999.
Perkins, C.E. & Bhagwat, P., Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for Mobile Computers. SIGCOMM, pp. 234-245, 1994.
Clausen, T. & Jacquet, P., Optimized link state routing protocol (OLSR), RFC 3626, 2003.
Sarkar, R.R. & Rahman, M.Z., Enhancing Resilience in Communication Networks for Post-Disaster Response, J Inf Syst Eng Manag., 10(22s), pp. 551-559, 2025. doi:10.52783/jisem.v10i22s.3594.
Maier, A., Sharp, A. & Vagapov, Y., Comparative analysis and practical implementation of the ESP32 microcontroller module for the Internet of Things, 2017 Internet Technologies and Applications (ITA), pp. 143-148, 2017.
