Opportunistic Multi-Technology Cooperative Scheme and UAV Relaying for Network Disaster Recovery

Disaster scenarios are particularly catastrophic in urban environments, which are very densely populated in many cases. Disasters not only endanger the life of people, but also affect the existing communication infrastructures. In fact, such an infrastructure could be completely destroyed or damaged; even when it continues working, it suffers from high access demand to its limited resources within a short period of time. This work evaluates the performances of smartphones and leverages the ubiquitous presence of mobile devices in urban scenarios to assist search and rescue activities following a disaster. Specifically, it proposes a collaborative protocol that opportunistically organizes mobile devices in multiple tiers by targeting a fair energy consumption in the whole network. Moreover, it introduces a data collection scheme that employs drones to scan the disaster area and to visit mobile devices and collect their data in a short time. Simulation results in realistic settings show that the proposed solution balances the energy consumption in the network by means of efficient drone routes and smart self-organization, thereby effectively assisting search and rescue operations.

[1]  Michel Gendreau,et al.  The Covering Tour Problem , 1997, Oper. Res..

[2]  Walid Saad,et al.  Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage , 2016, IEEE Communications Letters.

[3]  Jon Crowcroft,et al.  Evaluating opportunistic networks in disaster scenarios , 2013, J. Netw. Comput. Appl..

[4]  Sergio F. Ochoa,et al.  Human-centric wireless sensor networks to improve information availability during urban search and rescue activities , 2015, Inf. Fusion.

[5]  Wei Xu,et al.  Energy Efficient UAV Communication With Energy Harvesting , 2020, IEEE Transactions on Vehicular Technology.

[6]  Stefan Feuerriegel,et al.  Emergency response in natural disaster management: Allocation and scheduling of rescue units , 2014, Eur. J. Oper. Res..

[7]  Dimitrios Zorbas,et al.  Optimal drone placement and cost-efficient target coverage , 2016, J. Netw. Comput. Appl..

[8]  Ming Chen,et al.  Joint Altitude, Beamwidth, Location, and Bandwidth Optimization for UAV-Enabled Communications , 2018, IEEE Communications Letters.

[9]  Nei Kato,et al.  Relay-by-smartphone: realizing multihop device-to-device communications , 2014, IEEE Communications Magazine.

[10]  A. Apte,et al.  Stochastic Optimization for Natural Disaster Asset Prepositioning , 2010 .

[11]  Nesrine Chakchouk,et al.  A Survey on Opportunistic Routing in Wireless Communication Networks , 2015, IEEE Communications Surveys & Tutorials.

[12]  Rui Zhang,et al.  Placement Optimization of UAV-Mounted Mobile Base Stations , 2016, IEEE Communications Letters.

[13]  Lav Gupta,et al.  Survey of Important Issues in UAV Communication Networks , 2016, IEEE Communications Surveys & Tutorials.

[14]  Kamesh Namuduri,et al.  Flying cell towers to the rescue , 2017, IEEE Spectrum.

[15]  Rui Zhang,et al.  Cyclical Multiple Access in UAV-Aided Communications: A Throughput-Delay Tradeoff , 2016, IEEE Wireless Communications Letters.

[16]  Kezhi Wang,et al.  Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks , 2019, IEEE Transactions on Wireless Communications.

[17]  Walid Saad,et al.  Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.

[18]  Steven Reece,et al.  Human–agent collaboration for disaster response , 2015, Autonomous Agents and Multi-Agent Systems.

[19]  Zhiyang Li,et al.  Joint Trajectory and Communication Design for Secure UAV Networks , 2019, IEEE Communications Letters.

[20]  Guohong Cao,et al.  TeamPhone: Networking SmartPhones for Disaster Recovery , 2016, IEEE Transactions on Mobile Computing.

[21]  Liliana Enciso Quispe,et al.  Behavior of Ad Hoc routing protocols, analyzed for emergency and rescue scenarios, on a real urban area , 2014, Expert Syst. Appl..

[22]  Shaojie Tang,et al.  Recent progress in routing protocols of mobile opportunistic networks: A clear taxonomy, analysis and evaluation , 2016, J. Netw. Comput. Appl..

[23]  Nathalie Mitton,et al.  Alternative Opportunistic Alert Diffusion to Support Infrastructure Failure during Disasters , 2017, Sensors.

[24]  Rui Zhang,et al.  Wireless communications with unmanned aerial vehicles: opportunities and challenges , 2016, IEEE Communications Magazine.