Skip to main content
SpringerLink
Log in

Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions

  • Chapter
  • First Online:
Mobile Edge Computing

Abstract

The development of Internet of Things (IoT) technology enables the rapid growth of connected smart devices and mobile applications. However, due to the constrained resources and limited battery capacity, there are bottlenecks when utilizing the smart devices. Mobile edge computing (MEC) offers an attractive paradigm to handle this challenge. In this work, we concentrate on the MEC application for IoT and deal with the energy saving objective via offloading workloads between cloud and edge. In this regard, we firstly identify the energy-related challenges in MEC. Then we present a green-aware framework for MEC to address the energy-related challenges, and provide a generic model formulation for the green MEC. We also discuss some state-of-the-art workloads offloading approaches to achieve green IoT and compare them in comprehensive perspectives. Finally, some future research directions related to energy efficiency in MEC are given.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Redowan Mahmud, Ramamohanarao Kotagiri, and Rajkumar Buyya. Fog Computing: A Taxonomy, Survey and Future Directions, pages 103–130. Springer Singapore, Singapore, 2018.

    Book  Google Scholar 

  2. Nirwan Ansari and Xiang Sun. Mobile edge computing empowers internet of things. IEICE Transactions on Communications, 101(3):604–619, 2018.

    Article  Google Scholar 

  3. Yi Liu, Chao Yang, Li Jiang, Shengli Xie, and Yan Zhang. Intelligent edge computing for iot-based energy management in smart cities. IEEE Network, 33(2):111–117, 2019.

    Article  Google Scholar 

  4. Pavel Mach and Zdenek Becvar. Mobile edge computing: A survey on architecture and computation offloading. IEEE Communications Surveys & Tutorials, 19(3):1628–1656, 2017.

    Article  Google Scholar 

  5. Luigi Atzori, Antonio Iera, and Giacomo Morabito. The internet of things: A survey. Computer Networks, 54(15):2787–2805, 2010.

    Article  Google Scholar 

  6. Minxian Xu, Rajkumar Buyya. BrownoutCon: A software system based on brownout and containers for energy-efficient cloud computing. Journal of Systems and Software, 155:91–103, 2019.

    Google Scholar 

  7. Niroshinie Fernando, Seng W Loke, and Wenny Rahayu. Mobile cloud computing: A survey. Future generation computer systems, 29(1):84–106, 2013.

    Article  Google Scholar 

  8. H. Wu, W. J. Knottenbelt, and K. Wolter. An efficient application partitioning algorithm in mobile environments. IEEE Transactions on Parallel and Distributed Systems, 30(7):1464–1480, July 2019.

    Article  Google Scholar 

  9. Shinan Song Zhanyang Zhang Chengxi Gao Shuhui Chu, Zhiyi Fang and Chengzhong Xu. Efficient Multi-Channel Computation Offloading for Mobile Edge Computing: A Game-Theoretic Approach. IEEE Transactions on Cloud Computing, pages 1–12, 2020.

    Google Scholar 

  10. Minxian Xu, Adel N. Toosi, Behrooz Bahrani, Reza Razzaghi, and Martin Singh. Optimized renewable energy use in green cloud data centers. In Sami Yangui, Ismael Bouassida Rodriguez, Khalil Drira, and Zahir Tari, editors, Service-Oriented Computing, pages 314–330, Cham, 2019. Springer International Publishing.

    Google Scholar 

  11. Yiqin Deng, Zhigang Chen, Xin Yao, Shahzad Hassan, and Ali MA Ibrahim. Parallel offloading in green and sustainable mobile edge computing for delay-constrained iot system. IEEE Transactions on Vehicular Technology, 68(12):12202–12214, 2019.

    Google Scholar 

  12. Lijuan Xu, Meng Qin, Qinghai Yang, and KyungSup Kwak. Deep reinforcement learning for dynamic access control with battery prediction for mobile-edge computing in green iot networks. In 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), pages 1–6. IEEE, 2019.

    Google Scholar 

  13. Minxian Xu and Rajkumar Buyya. Managing renewable energy and carbon footprint in multi-cloud computing environments. Journal of Parallel and Distributed Computing, 135:191–202, 2020.

    Article  Google Scholar 

  14. Nikzad Babaii Rizvandi, Javid Taheri, and Albert Y. Zomaya. Some observations on optimal frequency selection in dvfs-based energy consumption minimization. Journal of Parallel and Distributed Computing, 71(8):1154–1164, 2011.

    Google Scholar 

  15. Robert Aumann and Adam Brandenburger. Epistemic conditions for nash equilibrium. Econometrica, 63(5):1161–1180, 1995.

    Article  MathSciNet  Google Scholar 

  16. Lei Zheng and Lin Cai. A distributed demand response control strategy using Lyapunov optimization. IEEE Transactions on Smart Grid, 5(4):2075–2083, 2014.

    Article  Google Scholar 

  17. Yucen Nan, Wei Li, Wei Bao, Flavia C Delicato, Paulo F Pires, Yong Dou, and Albert Y Zomaya. Adaptive energy-aware computation offloading for cloud of things systems. IEEE Access, 5:23947–23957, 2017.

    Google Scholar 

  18. Zhi Zhou. Greenedge: Greening edge datacenters with energy-harvesting iot devices. In 2019 IEEE 27th International Conference on Network Protocols (ICNP), pages 1–6. IEEE, 2019.

    Google Scholar 

  19. Ke Zhang, Supeng Leng, Yejun He, Sabita Maharjan, and Yan Zhang. Mobile edge computing and networking for green and low-latency internet of things. IEEE Communications Magazine, 56(5):39–45, 2018.

    Article  Google Scholar 

  20. Jin Zhang and Qian Zhang. Stackelberg game for utility-based cooperative cognitive radio networks. In Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing, pages 23–32, 2009.

    Google Scholar 

  21. Xinchen Lyu, Hui Tian, Li Jiang, Alexey Vinel, Sabita Maharjan, Stein Gjessing, and Yan Zhang. Selective offloading in mobile edge computing for the green internet of things. IEEE Network, 32(1):54–60, 2018.

    Article  Google Scholar 

  22. Pardis Emami Naeini, Sruti Bhagavatula, Hana Habib, Martin Degeling, Lujo Bauer, Lorrie Faith Cranor, and Norman Sadeh. Privacy expectations and preferences in an iot world. In Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017), pages 399–412, 2017.

    Google Scholar 

Download references

Acknowledgements

This work is supported by Key-Area Research and Development Program of Guangdong Province (NO. 2020B010164003), and SIAT Innovation Program for Excellent Young Researchers, National Natural Science Foundation of China (NO. 62102408).

Author information

Authors and Affiliations

  1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Minxian Xu & Chengxi Gao

  2. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computingand Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Shashikant Ilager & Rajkumar Buyya

  3. Center for applied mathematics, Tianjin University, Tianjin, China

    Huaming Wu

  4. State Key Lab of IOTSC, University of Macau, Macau, China

    Chengzhong Xu

Authors
  1. Minxian Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chengxi Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shashikant Ilager
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Huaming Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chengzhong Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Rajkumar Buyya
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Minxian Xu .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Mahishadal Raj College, Mahishadal, West Bengal, India

    Anwesha Mukherjee

  2. Centre of Mobile Cloud Computing Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

    Debashis De

  3. Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India

    Soumya K. Ghosh

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Xu, M., Gao, C., Ilager, S., Wu, H., Xu, C., Buyya, R. (2021). Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. In: Mukherjee, A., De, D., Ghosh, S.K., Buyya, R. (eds) Mobile Edge Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-69893-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-69893-5_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69892-8

  • Online ISBN: 978-3-030-69893-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation