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Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications

IEEE Transactions on Wireless Communications · 2017 · Vol. 16(11) · pp. 7574–7589
Mohammad MozaffariWalid SaadMehdi BennisMérouane Debbah

Abstract

In this paper, the efficient deployment and mobility of multiple unmanned aerial vehicles (UAVs), used as aerial base stations to collect data from ground Internet of Things (IoT) devices, are investigated. In particular, to enable reliable uplink communications for the IoT devices with a minimum total transmit power, a novel framework is proposed for jointly optimizing the 3D placement and the mobility of the UAVs, device-UAV association, and uplink power control. First, given the locations of active IoT devices at each time instant, the optimal UAVs' locations and associations are determined. Next, to dynamically serve the IoT devices in a time-varying network, the optimal mobility patterns of the UAVs are analyzed. To this end, based on the activation process of the IoT devices, the time instances at which the UAVs must update their locations are derived. Moreover, the optimal 3D trajectory of each UAV is obtained in a way that the total energy used for the mobility of the UAVs is minimized while serving the IoT devices. Simulation results show that, using the proposed approach, the total-transmit power of the IoT devices is reduced by 45% compared with a case, in which stationary aerial base stations are deployed. In addition, the proposed approach can yield a maximum of 28% enhanced system reliability compared with the stationary case. The results also reveal an inherent tradeoff between the number of update times, the mobility of the UAVs, and the transmit power of the IoT devices. In essence, a higher number of updates can lead to lower transmit powers for the IoT devices at the cost of an increased mobility for the UAVs.

UAV Applications and OptimizationAdvanced Wireless Communication TechnologiesAdvanced MIMO Systems OptimizationComputer scienceBase stationTelecommunications linkReal-time computingTransmitter power outputSoftware deploymentInternet of ThingsMobility modelComputer networkReliability (semiconductor)

Funding

  • National Science Foundation
  • European Research Council
  • Office of Naval Research
Citations
1,089
FWCI
1434.94
field-weighted impact
References
33
Percentile
100%
vs. same field & year
Citations per year
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References
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Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs
IEEE Transactions on Wireless Communications · 2016 · 1,111 citations
Throughput Maximization for UAV-Enabled Mobile Relaying Systems
IEEE Transactions on Communications · 2016 · 1,341 citations
Energy-Efficient UAV Communication With Trajectory Optimization
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