M. Mozaffari, W. Saad, M. Bennis and M. Debbah, "Mobile Internet of Things: Can UAVs Provide an Energy-Efficient Mobile Architecture?," 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, 2016, pp. 1-6. doi: 10.1109/GLOCOM.2016.7841993
Mobile internet of things : can UAVs provide an energy-efficient mobile architecture?
|Author:||Mozaffari, Mohammad1; Saad, Walid1; Bennis, Mehdi2;|
1Wireless@VT, Electrical and Computer Engineering Department, Virginia Tech, VA, USA
2CWC - Centre for Wireless Communications, Oulu, Finland
3Mathematical and Algorithmic Sciences Lab, Huawei France R & D, Paris, France, and CentraleSupelec, Universite Paris-Saclay, Gif-sur-Yvette, France
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080633394
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-06
In this paper, the optimal trajectory and deployment of multiple unmanned aerial vehicles (UAVs), used as aerial base stations to collect data from ground Internet of Things (IoT) devices, is investigated. In particular, to enable reliable uplink communications for IoT devices with a minimum energy consumption, a new approach for optimal mobility of the UAVs is proposed. First, given a fixed ground IoT network, the total transmit power of the devices is minimized by properly clustering the IoT devices with each cluster being served by one UAV. Next, to maintain energy-efficient communications in time-varying mobile IoT networks, the optimal trajectories of the UAVs are determined by exploiting the framework of optimal transport theory. Simulation results show that by using the proposed approach, the total transmit power of IoT devices for reliable uplink communications can be reduced by 56% compared to the fixed Voronoi deployment method. Moreover, our results yield the optimal paths that will be used by UAVs to serve the mobile IoT devices with a minimum energy consumption.
|Pages:||1 - 6|
2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC USA, 4-8 Dec 2016
IEEE global communications conference
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
This work was supported by the U.S. National Science Foundation under Grants AST-1506297, by the Office of Naval Research (ONR) under Grant N00014-15-1-2709, and, by the ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering), and by the Academy of Finland.
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