M. Mozaffari, W. Saad, M. Bennis and M. Debbah, "Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications," in IEEE Transactions on Wireless Communications, vol. 16, no. 11, pp. 7574-7589, Nov. 2017. doi: 10.1109/TWC.2017.2751045
Mobile unmanned aerial vehicles (UAVs) for energy-efficient internet of things communications
|Author:||Mozaffari, Mohammad1; Saad, Walid1; Bennis, Mehdi2,3;|
1Wireless@VT, Electrical and Computer Engineering Department, Virginia Tech, VA 24061 USA
2Centre for Wireless Communications, 90014 Oulu, Finland
3Department of Computer Engineering, Kyung Hee University, Seoul 02447, South Korea
4Mathematical and Algorithmic Sciences Laboratory, Huawei France Research and Developm ent, 92100 Paris, France
5CentraleSupelec, Université Pari s-Saclay, 91192 Gif-sur-Yvette, France
|Online Access:||PDF Full Text (PDF, 0.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080633397
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-06
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.
IEEE transactions on wireless communications
|Pages:||7574 - 7589|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the U.S. National Science Foundation under Grants AST-1506297, OAC-1541105, and IIS-1633363, in part by the U.S. Office of Naval Research (ONR) under Grant N00014-15-1-2709, and in part by the ERC Starting Grant MORE (Advanced Mathematical Tools for Complex Network Engineering), and in part by the Academy of Finland (CARMA).
|Academy of Finland Grant Number:||
289611 (Academy of Finland Funding decision)
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