Abstract

In the aftermath of a disaster, natural or man-made, successful emergency management operations vitally depend on reliable communication infrastructures. However, large-scale extreme events may dismantle telecommunication infrastructures and impair rescue operations. The current state of practice to maintain communication when infrastructures are not operable mostly focuses on using temporary infrastructures including mobile telecom towers. However, these centralized solutions heavily depend on equipment that may not be readily available. To address this issue, this paper aims to create theoretical foundations for, and empirically examine the performance of, a novel decentralized and infrastructure-less communication system that uses an ad hoc mobile network, distributed ledger and Blockchain technology, and an all-to-all broadcasting routing algorithm. When the proposed communication system is used, mobile devices in the affected area connect with each other through device-to-device Wi-Fi Direct, create a temporary mobile ad hoc network, and share spatial information through the stepwise routing algorithm and distributed ledgers. At the end of this process, each device in the network will have spatial information of all available devices in the area. Therefore, when first responders arrive in the affected area, they can locate all devices and have access to all collected information immediately through a direct connection to only one device in the area. The outcomes of this study will fundamentally transform the emergency communication solutions and can significantly shorten the duration of rescue operations by helping first responders locate citizens in the affected area faster and more efficiently.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies (URL: https://github.com/risc-lab/MANET-Emergency-Communication-System).

References

Aiello, D. 2004. “Mobile carriers ready ‘cells-on-wheels’ in case of outages or network overloads.” Operation Gadget. Accessed June 14, 2021. http://www.operationgadget.com/2004/08/mobile_carriers.html.
Al-Dhief, F. T., N. Sabri, S. Fouad, N. A. Latiff, and M. A. A. Albader. 2019. “A review of forest fire surveillance technologies: Mobile ad-hoc network routing protocols perspective.” J. King Saud Univ. Comput. Inf. Sci. 31 (2): 135–146. https://doi.org/10.1016/j.jksuci.2017.12.005.
Aldunate, R., S. F. Ochoa, F. Pena-Mora, and M. Nussbaum. 2006. “Robust mobile ad hoc space for collaboration to support disaster relief efforts involving critical physical infrastructure.” J. Comput. Civ. Eng. 20 (1): 13–27. https://doi.org/10.1061/(ASCE)0887-3801(2006)20:1(13).
Ali, K., H. X. Nguyen, Q. T. Vien, P. Shah, and Z. Chu. 2018. “Disaster management using D2D communication with power transfer and clustering techniques.” IEEE Access 6 (Jan): 14643–14654. https://doi.org/10.1109/ACCESS.2018.2793532.
Aloi, G., L. Bedogni, L. Bononi, O. Briante, M. Di Felice, V. Loscrì, P. Pace, F. Panzieri, G. Ruggeri, and A. Trotta. 2015. “Stem-net: How to deploy a self-organizing network of mobile end-user devices for emergency communication.” Comput. Commun. 60 (Apr): 12–27. https://doi.org/10.1016/j.comcom.2015.01.023.
Bushnaq, O. M., M. A. Kishk, A. Çelik, M. S. Alouini, and T. Y. Al-Naffouri. 2020. “Optimal deployment of tethered drones for maximum cellular coverage in user clusters.” IEEE Trans. Wireless Commun. 20 (3): 2092–2108. https://doi.org/10.1109/TWC.2020.3039013.
Camps-Mur, D., A. Garcia-Saavedra, and P. Serrano. 2013. “Device-to-device communications with Wi-Fi Direct: Overview and experimentation.” IEEE Wireless Commun. 20 (3): 96–104. https://doi.org/10.1109/MWC.2013.6549288.
Cheshire, S., B. Aboba, and E. Guttman. 2005. Vol. 26 of Dynamic configuration of IPv4 link-local addresses. Reston, VA: The Internet Society.
Dener, M., Y. Özkök, and C. Bostancıoğlu. 2015. “Fire detection systems in wireless sensor networks.” Procedia Social Behav. Sci. 195 (Jul): 1846–1850. https://doi.org/10.1016/j.sbspro.2015.06.408.
Diwanji, V. S., L. Arpan, M. B. Ulak, J. J. Hou, E. E. Ozguven, and R. Arghandeh. 2020. “Understanding citizens’ communication channel preferences during natural disasters: A synchronicity-based, mixed-methods exploration using survey and geospatial analysis.” Int. J. Disaster Risk Reduct. 47 (Aug): 101646. https://doi.org/10.1016/j.ijdrr.2020.101646.
Erdelj, M., M. Król, and E. Natalizio. 2017. “Wireless sensor networks and multi-UAV systems for natural disaster management.” Comput. Networks 124 (Sep): 72–86. https://doi.org/10.1016/j.comnet.2017.05.021.
FCC (Federal Communications Commission). 2017a. Communication status report for areas impacted by Hurricane Harvey August 26, 2017. Washington, DC: Public Safety and Homeland Security Bureau.
FCC (Federal Communications Commission). 2017b. Communication status report for areas impacted by Hurricane Irma September 12, 2017. Washington, DC: Public Safety and Homeland Security Bureau.
Fisher, C. 2019. “AT&T’s giant blimp will provide network coverage to first responders.” Engadget. Accessed June 14, 2021. https://www.engadget.com/2019-12-04-att-first-net-one-blimp.html.
Furutani, T., Y. Kawamoto, H. Nishiyama, and N. Kato. 2018. “A novel information diffusing method with virtual cells-based Wi-Fi Direct in disaster area networks.” In Proc., IEEE Wireless Communications and Networking Conf., 1–6. New York: IEEE.
Gallager, R. G., P. A. Humblet, and P. M. Spira. 1983. “A distributed algorithm for minimum-weight spanning trees.” ACM Trans. Program. Lang. Syst. 5 (1): 66–77. https://doi.org/10.1145/357195.357200.
Gunaratna, G. T. C., P. V. N. M. Jayarathna, S. S. P. Sandamini, and D. S. De Silva. 2015. “Implementing wireless Adhoc networks for disaster relief communication.” In Proc., Int. Conf. on Ubi-Media Computing, 66–71. New York: IEEE.
Hansson, S., K. Orru, A. Siibak, A. Bäck, M. Krüger, F. Gabel, and C. Morsut. 2020. “Communication-related vulnerability to disasters: A heuristic framework.” Int. J. Disaster Risk Reduct. 51 (Dec): 101931. https://doi.org/10.1016/j.ijdrr.2020.101931.
Kamruzzaman, M., N. I. Sarkar, J. Gutierrez, and S. K. Ray. 2017. “A study of IoT-based post-disaster management.” In Proc., Int. Conf. on Information Networking, 406–410. New York: IEEE.
Khan, A., S. Gupta, and S. K. Gupta. 2020. “Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques.” Int. J. Disaster Risk Reduct. 47 (Aug): 101642. https://doi.org/10.1016/j.ijdrr.2020.101642.
Loon. 2021. “Connect people everywhere.” Accessed June 14, 2021. https://loon.com/.
Mariani, J., S. Ottarson, and L. Xiao. 2018. “HSNet: Energy conservation in heterogeneous smartphone Ad hoc networks.” In Proc., Int. Conf. on Computer Communication and Networks, 1–9. New York: IEEE. https://doi.org/10.1109/ICCCN.2018.8487427.
Nakamoto, S. 2008. “Bitcoin: A peer-to-peer electronic cash system.” Accessed October 31, 2008. https://www.debr.io/article/21260.pd.
Pan, M. S., and C. M. Wang. 2019. “A group-less and energy efficient communication scheme based on Wi-Fi Direct technology for emergency scenes.” IEEE Access 7 (Mar): 31840–31853. https://doi.org/10.1109/ACCESS.2019.2903228.
Peña-Mora, F., A. Y. Chen, Z. Aziz, and L. Soibelman. 2010. “Mobile ad hoc network-enabled collaboration framework supporting civil engineering emergency response operations.” J. Comput. Civ. Eng. 24 (3): 302–312. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000033.
Reina, D. G., M. Askalani, S. L. Toral, F. Barrero, E. Asimakopoulou, and N. Bessis. 2015. “A survey on multihop ad hoc networks for disaster response scenarios.” Int. J. Distrib. Sens. Netw. 11 (10): 647037. https://doi.org/10.1155/2015/647037.
Royer, E. M., and C. K. Toh. 1999. “A review of current routing protocols for ad hoc mobile wireless networks.” IEEE Pers. Commun. 6 (2): 46–55. https://doi.org/10.1109/98.760423.
Shahin, A. A., and M. Younis. 2015. “Efficient multi-group formation and communication protocol for Wi-Fi Direct.” In Proc., IEEE Conf. on Local Computer Networks, 233–236.New York: IEEE.
Tezel, A., P. Febrero, E. Papadonikolaki, and I. Yitmen. 2021. “Insights into blockchain implementation in construction: Models for supply chain management.” J. Manage. Eng. 37 (4): 04021038. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000939.
Toh, C. K. 2001. Ad hoc mobile wireless networks: Protocols and systems. Upper Saddle River, NJ: Pearson Education.
Verma, H., and N. Chauhan. 2015. “MANET based emergency communication system for natural disasters.” In Proc., Int. Conf. on Computing, Communication & Automation, 480–485. New York: IEEE.
Werbach, K. 2018. The blockchain and the new architecture of trust. Cambridge, MA: MIT Press.
Yoon, H., R. Shiftehfar, S. Cho, B. F. Spencer Jr., M. E. Nelson, and G. Agha. 2016. “Victim localization and assessment system for emergency responders.” J. Comput. Civ. Eng. 30 (2): 04015011. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000483.

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Go to Journal of Computing in Civil Engineering
Journal of Computing in Civil Engineering
Volume 36Issue 2March 2022

History

Received: Jul 8, 2021
Accepted: Nov 9, 2021
Published online: Dec 24, 2021
Published in print: Mar 1, 2022
Discussion open until: May 24, 2022

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Assistant Professor, Dept. of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ 07030 (corresponding author). ORCID: https://orcid.org/0000-0001-6576-3808. Email: [email protected]
Ph.D. Student, Dept. of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ 07030. ORCID: https://orcid.org/0000-0002-9923-6608. Email: [email protected]
Undergraduate Student, Dept. of Computer Engineering, Iran Univ. of Science and Technology, Tehran 16846-13114, Iran. ORCID: https://orcid.org/0000-0003-1517-7135. Email: [email protected]

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