Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
http://link.springer.com/content/pdf/10.1631/FITEE.2000315.pdf
Reference34 articles.
1. Chan TM, Man KF, Tang KS, et al., 2007. A jumping-genes paradigm for optimizing factory WLAN network. IEEE Trans Ind Inform, 3(1):33–43. https://doi.org/10.1109/TII.2006.890528
2. Chen J, Zhang X, Xin B, et al., 2016. Coordination between unmanned aerial and ground vehicles: a taxonomy and optimization perspective. IEEE Trans Cybern, 46(4):959–972. https://doi.org/10.1109/TCYB.2015.2418337
3. Chen WH, Liu BC, Huang HW, et al., 2019. When UAV swarm meets edge-cloud computing: the QoS perspective. IEEE Netw, 33(2):36–43. https://doi.org/10.1109/MNET.2019.1800222
4. Diao XH, Zheng JC, Cai YM, et al., 2019. Fair data allocation and trajectory optimization for UAV-assisted mobile edge computing. IEEE Commun Lett, 23(12):2357–2361. https://doi.org/10.1109/LCOMM.2019.2943461
5. Du Y, Yang K, Wang KZ, et al., 2019. Joint resources and workflow scheduling in UAV-enabled wirelessly-powered MECfor IoTsystems. IEEE Trans Veh Technol, 68(10):10187–10200. https://doi.org/10.1109/TVT.2019.2935877
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