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Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks

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References

  1. Hu Y C, Patel M, Sabella D, et al. Mobile Edge Computing —A Key Technology Towards 5G. ETSIWhite Paper 11.11. 2015

    Google Scholar 

  2. Jia M, Cao J N, Yang L. Heuristic offloading of concurrent tasks for computation-intensive applications in mobile cloud computing. In: Proceedings of IEEE Conference on Computer Communications Workshops, Toronto, 2014. 352–357

    Google Scholar 

  3. Wang J Y, Peng J, Wei Y H, et al. Adaptive application offloading decision and transmission scheduling for mobile cloud computing. China Commun, 2017, 14: 169–181

    Google Scholar 

  4. Sardellitti S, Scutari G, Barbarossa S. Joint optimization of radio and computational resources for multicell mobile-edge computing. IEEE Trans Signal Inf Process Netw, 2015, 1: 89–103

    Article  MathSciNet  Google Scholar 

  5. Sheng M, Zhai D S, Wang X J, et al. Intelligent energy and traffic coordination for green cellular networks with hybrid energy supply. IEEE Trans Veh Technol, 2017, 66: 1631–1646

    Article  Google Scholar 

  6. Du J B, Zhao L Q, Feng J, et al. Computation offloading and resource allocation in mixed fog/cloud computing systems with min-max fairness guarantee. IEEE Trans Commun, 2018, 66: 1594–1608

    Article  Google Scholar 

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Authors and Affiliations

  1. Tianyuan Ruixin Communication Technology Co. Ltd., Xi’an, 710071, China

    Shulei Li

  2. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, 710071, China

    Daosen Zhai

  3. The 10th Institute of China Electronics Technology Group Corporation (CETC), Chengdu, 610036, China

    Pengfei Du

  4. The 504th Institute of China Space Technology, Xi’an, 710199, China

    Ting Han

Authors
  1. Shulei Li
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  2. Daosen Zhai
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  3. Pengfei Du
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  4. Ting Han
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Corresponding author

Correspondence to Shulei Li.

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Li, S., Zhai, D., Du, P. et al. Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks. Sci. China Inf. Sci. 62, 29307 (2019). https://doi.org/10.1007/s11432-017-9440-x

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  • DOI: https://doi.org/10.1007/s11432-017-9440-x

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