Abstract
Landslides and large floods are serious natural disasters that every year cause multiple deaths and loss in property around the world. When these events occur in areas like the “favelas” or mountain regions in coastal cities like Rio de Janeiro, the situation becomes critical as buildings and infrastructures are not prepared to withstand them. Search and rescue teams in such disaster areas need to rely on real-time communication, which often cannot be adequately provided by cell or radio networks. In this paper, we argue that flying ad-hoc networks can provide the support needed in these scenarios and propose a new solution towards that goal, termed Flying Witness Units. We make our case by presenting real-time schedulability analysis of message delivery for a disaster scenario.
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Notes
- 1.
There are exceptions, of course, such as a tsunami detection and warning systems in any town that is to be protected.
References
Bekmezci, İ., Sahingoz, O.K., Temel, Ş.: Flying ad-hoc networks (fanets): A survey. Ad Hoc Netw. 11(3), 1254–1270 (2013)
Bretmersky, S.C., Bishop, W.D., Dailey, J.E., Chevalier, C.T.: Communications technology assessment for the unmanned aircraft system (UAS) control and non-payload communications (CNPC) link. Technical report, NASA (2014)
Bupe, P., Haddad, R., Rios-Gutierrez, F.: Relief and emergency communication network based on an autonomous decentralized UAV clustering network. In: SoutheastCon, pp. 1–8 (2015)
Chetto, H., Chetto, M.: Some results of the earliest deadline scheduling algorithm. IEEE Trans. Softw. Eng. 15(10), 1261–1269 (1989)
Cross, A.R.: Drones for disaster response and relief operations. Technical report Red Cross (2015). http://www.issuelab.org/resources/21683/21683.pdf
Frew, E.W., Brown, T.X.: Networking issues for small unmanned aircraft systems. J. Intell. Robot. Syst. 54(1–3), 21–37 (2009)
Henkel, D., Brown, T.X.: On controlled node mobility in delaytolerant networks of unmanned aerial vehicles. In: International Symposium on Advance Radio Technolgoies (ISART), pp. 7–9 (2006)
Jimenez-Pacheco, A., Bouhired, D., Gasser, Y., Zufferey, J.C., Floreano, D., Rimoldi, B.: Implementation of a wireless mesh network of ultra light mavs with dynamic routing. In: IEEE Globecom Workshops, pp. 1591–1596 (2012)
Marty, J.A.: Vulnerability analysis of the mavlink protocol for command and control of unmanned aircraft. Technical report, DTIC Document (2013)
Monares, Á., Ochoa, S.F., Santos, R., Orozco, J., Meseguer, R.: Modeling IoT-based solutions using human-centric wireless sensor networks. Sensors 14(9), 15687–15713 (2014)
Ochoa, S.F., Santos, R.: Human-centric wireless sensor networks to improve information availability during urban search and rescue activities. Inf. Fus. 22, 71–84 (2015)
Rosati, S., Krużelecki, K., Heitz, G., Floreano, D., Rimoldi, B.: Dynamic routing for flying Ad hoc networks. IEEE Trans. Vehicular Technol. 65(3), 1690–1700 (2016)
Sahingoz, O.K.: Networking models in flying Ad-hoc networks (fanets): Concepts and challenges. J. Intell. Robot. Syst. 74(1), 513–527 (2014)
Santos, R., Orozco, J., Ochoa, S., Meseguer, R., Mosse, D.: Supporting real-time message delivery in disaster relief efforts: an analytical approach. University of Pittsburgh, Technical report (2016)
Santos, R., Urriza, J., Santos, J., Orozco, J.: New methods for redistributing slack time in real-time systems: Applications and comparative evaluations. J. Syst. Softw. 69(1–2), 115–128 (2004)
Santos, R., Mosse, D., Znati, T., Comfort, L.: Design and implementation of a witness unit for opportunistic routing in tsunami alert scenarios. Saf. Sci. 90, 75–83 (2016)
Serreli, N., Lipari, G., Bini, E.: The demand bound function interface of distributed sporadic pipelines of tasks scheduled by edf. In: Euromicro Conference on Real-Time Systems (ECRTS), pp. 187–196 (2010)
Toro, J., de Moura, F.S., Pedroso, F.F., Marques, F.: Avaliacao de perdas e danos: Inundacoes e deslizamentos na regiao serrana do rio de janeiro. Technical report, World Bank (2012)
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This work was partially supported by the Spanish government (TIN2016-77836-C2-2-R).
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Santos, R.M., Orozco, J., Mosse, D., Petrucci, V., Ochoa, S.F., Meseguer, R. (2017). Flying Real-Time Network for Disaster Assistance. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_58
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