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MEC-Enabled Fine-Grained Task Offloading for UAV Networks in Urban Environments

Author

Listed:
  • Sicong Yu

    (Information Engineering College, Engineering University of PAP, Xi’an 710018, China)

  • Huiji Zheng

    (Information Engineering College, Engineering University of PAP, Xi’an 710018, China)

  • Caihong Ma

    (Information Engineering College, Engineering University of PAP, Xi’an 710018, China)

Abstract

In recent years, with the continuous development of information technology, the amount of data generated and hosted by cloud service platforms in urban environments is unprecedented. Mobile edge computing (MEC) is combined with UAV networks to better realize the ability to provide nearby services to a large number of terminal devices in cities. Unmanned aerial vehicles (UAVs) are highly maneuverable and inexpensive and are good carriers for carrying MEC platforms. In UAV edge networks, we usually face the problem of fine-grained task offloading based on relevant features of urban environments. We need to address high energy consumption and task processing delays to help achieve urban sustainability goals. Therefore, we combine the software definition network (SDN) technology and, on this basis, we propose two task offloading strategies based on an improved EFO intelligent algorithm for different user scales. At the same time, we run the proposed offloading system in the UAV sensor. The experiment shows that, compared with the traditional strategy, the unloading efficiency of the proposed method can be improved by about 10%.

Suggested Citation

  • Sicong Yu & Huiji Zheng & Caihong Ma, 2022. "MEC-Enabled Fine-Grained Task Offloading for UAV Networks in Urban Environments," Sustainability, MDPI, vol. 14(21), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13809-:d:952153
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    References listed on IDEAS

    as
    1. Giorgos Mitsis & Pavlos Athanasios Apostolopoulos & Eirini Eleni Tsiropoulou & Symeon Papavassiliou, 2019. "Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market," Future Internet, MDPI, vol. 11(5), pages 1-19, May.
    2. Kaiping Wang & Mingzhu Song & Meng Li, 2021. "Cooperative Multi-UAV Conflict Avoidance Planning in a Complex Urban Environment," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    3. Admoon Andrawes & Rosdiadee Nordin & Zaid Albataineh & Mohammed H. Alsharif, 2021. "Sustainable Delay Minimization Strategy for Mobile Edge Computing Offloading under Different Network Scenarios," Sustainability, MDPI, vol. 13(21), pages 1-16, November.
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