Abstract
This study explores how a swarm of aerial mobile vehicles can provide network connectivity and meet the stringent requirements of public protection and disaster relief operations. In this context, we design a physics-based controlled mobility strategy, which we name the extended Virtual Force Protocol (VFPe), allowing self-propelled nodes, and in particular here unmanned aerial vehicles, to fly autonomously and cooperatively. In this way, ground devices scattered on the operation site may establish communications through the wireless multi-hop communication routes formed by the network of aerial nodes. We further investigate through simulations the behavior of the VFPe protocol, notably focusing on the way node location information is disseminated into the network as well as on the impact of the number of exploration nodes on the overall network performance.
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References
Report ITU-R M.2377: Radiocommunication Objectives and Requirements for Public Protection and Disaster Relief (2015)
CEPT ECC Report 199: Public protection and disaster relief spectrum requirements (2013)
Qiantori, A., Sutiono, A.B., Hariyanto, H., Suwa, H., Ohta, T.: An emergency medical communications system by low altitude platform at the early stages of a natural disaster in indonesia. J. Med. Syst. 34, 1–12 (2010)
Reynaud, L., Rasheed, T., Kandeepan, S.: An integrated aerial telecommunications network that supports emergency traffic. In: 14th International Symposium on Wireless Personal Multimedia Communications (WPMC), Brest, France (2011)
The Role of Deployable Aerial Communications Architecture in Emergency Communications and Recommended Next Steps, White Paper, Federal Communications Commission (FCC), Washington, USA (2011)
Gomez, K.M., et al.: Aerial base stations with opportunistic links for next generation emergency communications. IEEE Commun. Mag. (2016)
Nelson, C.B., Steckler, B.D., Stamberger, J.A.: The evolution of hastily formed networks for disaster response: technologies, case studies, and future trends. In: 2011 IEEE Global Humanitarian Technology Conference (GHTC), pp. 467–475, Seattle, USA (2011)
Deaton, J.D.: High altitude platforms for disaster recovery: capabilities, strategies, and techniques for emergency telecommunications. EURASIP J. Wirel. Commun. Netw. 2008(1), 1–8 (2008)
Varela, G., et al.: Swarm intelligence based approach for real time UAV team coordination in search operations. In: 3rd World Congress on Nature and Biologically Inspired Computing (NaBIC), Salamanca, Spain (2011)
Daniel, K., Rohde, S., Goddemeier, N., Wietfeld, C.: A communication aware steering strategy avoiding self-separation of flying robot swarms. In: 5th IEEE International Conference on Intelligent Systems (IS 2010). IEEE, London (2010)
Brambilla, M., Ferrante, E., Birattari, M., Dorigo, M.: Swarm robotics: a reviewfrom the swarm engineering perspective. Swarm Intell. 7(1), 1–41 (2013)
Reynaud, L., Rasheed, T.: Deployable aerial communication networks: challenges for futuristic applications. In: 9th ACM Symposium on Performance Evaluation of Wireless Ad hoc, Sensor, and Ubiquitous Networks (PE-WASUN), pp. 9-16, Paphos, Cyprus (2012)
Spears, W.M., Spears, D.F., Hamann, J.C., Heil, R.: Distributed, physics-based control of swarms of vehicles. Auton. Robots 17(2/3), 137–162 (2004)
Reynaud, L., Lassous, I.G., Calvar, J.-O.: Mobilité contrôlée pour la poursuite de frelons. In: 17èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications (ALGOTEL 2015), Beaune, France (2015)
Reynaud, L., Guérin Lassous, I.: Design of a force-based controlled mobility on aerial vehicles for pest management. Submitted to Elsevier Ad Hoc Networks Journal (2016)
Le, D.V., Oh, H., Yoon, S.: VirFID: a Virtual Force (VF)-based interest-driven moving phenomenon monitoring scheme using multiple mobile sensor nodes. Ad Hoc Netw. J. 27, 112–132 (2015). doi:10.1016/j.adhoc.2014.12.002
Yu, X., Liu, N., Huang, W., Qian, X., Zhang, T.: A node deployment algorithm based on van der Waals force in wireless sensor networks. Int. J. Distrib. Sens. Netw. 2013 (2013)
Grassé, P.: La reconstruction du nid et les coordinations interindividuelles; la théorie de la stigmergie. Insectes Soc. 35, 41–84 (1959)
Clausen, T., Jacquet, P.: RFC3626, Optimized Link State Routing Protocol (OLSR). Experimental, http://www.ietf.org/rfc/rfc3626.txt
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Reynaud, L., Guérin-Lassous, I. (2016). Physics-Based Swarm Intelligence for Disaster Relief Communications. In: Mitton, N., Loscri, V., Mouradian, A. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2016. Lecture Notes in Computer Science(), vol 9724. Springer, Cham. https://doi.org/10.1007/978-3-319-40509-4_7
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DOI: https://doi.org/10.1007/978-3-319-40509-4_7
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