[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Springer Nature Link
Log in

Research on energy transmission strategy based on MEC in green communication

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Mobile edge computing (MEC) can provide rich computing services near mobile terminals, making it possible for computing intensive tasks to be performed at the edge, however, when renewable energy is the main power supply method for MEC servers, due to the unpredictability of renewable energy, the server will generate additional processing delays due to low energy. In this paper, in order to solve this problem, we incorporate renewable energy into the mobile edge computing, and use wireless power transmission technology to realize energy transmission between MEC servers. By optimizing offloading and wireless resource allocation, the total delay of the system is minimized. The main difficulty of this paper is the combination of unloading decision and its strong coupling with wireless resource allocation. In order to solve this problem, we use Lagrange multiplier method to get the optimal allocation of computing resources, and proposes an effective offloading exclusion algorithm (OEA) to determine the optimal offloading decision. Finally, the experimental results show that compared with other comparison schemes, the proposed scheme can effectively improve the performance of MEC and reduce the time consumption of the system.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Bi S, Zhang R (2016) Placement optimization of energy and information access points in wireless powered communication networks[J]. IEEE Trans Wirel Commun 15(3):2351–2364. https://doi.org/10.1109/TWC.2015.2503334

    Article  Google Scholar 

  2. Bi S, Zhang YJ (2018) Computation rate maximization for wireless powered Mobile-edge computing with binary computation offloading. IEEE Trans Wirel Commun 17(6):4177–4190. https://doi.org/10.1109/TWC.2018.2821664

    Article  Google Scholar 

  3. Bi S, Ho CK, Zhang R (2015) Wireless powered communication: opportunities and challenges. IEEE Commun Mag 53(4):117–125. https://doi.org/10.1109/MCOM.2015.7081084

    Article  Google Scholar 

  4. Cecchinato D, Berno M, Esposito F, Rossi M (2020) Allocation of computing tasks in distributed MEC Servers Co -Powered By Renewable Sources And The Power Grid. ICASSP 2020–2020 IEEE international conference on acoustics, speech and signal processing (ICASSP), Barcelona, Spain, 8971–8975, https://doi.org/10.1109/ICASSP40776.2020.9054410

  5. Chen X, Jiao L, Li W, Fu X (2016) Efficient multi-user computation offloading for Mobile-edge cloud computing. IEEE/ACM Trans Networking 24(5):2795–2808. https://doi.org/10.1109/TNET.2015.2487344

    Article  Google Scholar 

  6. Choi KW, Aziz AA, Setiawan D, Tran NM, Ginting L, Kim DI (2018) Distributed wireless power transfer system for internet of things devices. IEEE Internet Things J 5(4):2657–2671. https://doi.org/10.1109/JIOT.2018.2790578

    Article  Google Scholar 

  7. Guo J, Song Z, Cui Y, Liu Z, Ji Y (2017) Energy-Efficient Resource Allocation for Multi-User Mobile Edge Computing. GLOBECOM 2017–2017 IEEE Global Communications Conference, 1–7, https://doi.org/10.1109/GLOCOM.2017.8254044.

  8. Hu X, Wong K-K, Yang K (2018) Wireless powered cooperation-assisted Mobile edge computing. IEEE Trans Wirel Commun 17(4):2375–2388. https://doi.org/10.1109/TWC.2018.2794345

    Article  Google Scholar 

  9. Ji L, Guo S (2019) Energy-efficient cooperative resource allocation in wireless powered Mobile edge computing. IEEE Internet Things J 6(3):4744–4754. https://doi.org/10.1109/JIOT.2018.2880812

    Article  MathSciNet  Google Scholar 

  10. Kai C, Zhou H, Yi Y, Huang W (2021) Collaborative cloud-edge-end task offloading in Mobile-edge computing networks with limited communication capability. IEEE Transactions on Cognitive Communications and Networking 7(2):624–634. https://doi.org/10.1109/TCCN.2020.3018159

    Article  Google Scholar 

  11. Li M, Zhou X, Qiu T, Zhao Q, Li K (2021) Multi-relay assisted computation offloading for multi-access edge computing systems with energy harvesting. IEEE Trans Veh Technol 70(10):10941–10956. https://doi.org/10.1109/TVT.2021.3108619

    Article  Google Scholar 

  12. Lyu X, Tian H, Sengul C, Zhang P (2017) Multiuser joint task offloading and resource optimization in proximate clouds. IEEE Trans Veh Technol 66(4):3435–3447. https://doi.org/10.1109/TVT.2016.2593486

    Article  Google Scholar 

  13. Malik R, Vu M (2021) Energy-efficient joint wireless charging and computation offloading in MEC systems. IEEE Journal of Selected Topics in Signal Processing 15(5):1110–1126. https://doi.org/10.1109/JSTSP.2021.3098963

    Article  Google Scholar 

  14. Mao Y, Zhang J, Song SH, Letaief KB (2017) Stochastic joint radio and computational resource Management for Multi-User Mobile-Edge Computing Systems. IEEE Trans Wirel Commun 16(9):5994–6009. https://doi.org/10.1109/TWC.2017.2717986

    Article  Google Scholar 

  15. Oueis J, Strinati EC, Sardellitti S, Barbarossa S (2015) Small Cell Clustering for Efficient Distributed Fog Computing: A Multi-User Case. 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), 1–5, https://doi.org/10.1109/VTCFall.2015.7391144.

  16. Oueis J, Strinati EC, Barbarossa S (2015) The Fog Balancing: Load Distribution for Small Cell Cloud Computing. 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1–6, https://doi.org/10.1109/VTCSpring.2015.7146129.

  17. M. Qin et al., "Service-Oriented Energy-Latency Tradeoff for IoT Task Partial Offloading in MEC-Enhanced Multi-RAT Networks," in IEEE Internet of Things Journal, vol. 8, no. 3, pp. 1896–1907, 1 Feb.1, 2021, doi: https://doi.org/10.1109/JIOT.2020.3015970.

  18. Shannon CE (1949) Communication in the presence of noise. Proc IRE 37(1):10–21. https://doi.org/10.1109/JRPROC.1949.232969

    Article  MathSciNet  Google Scholar 

  19. Teng Y, Cheng K, Zhang Y, Wang X (2019) Mixed -timescale joint computational offloading and wireless resource allocation strategy in energy harvesting multi-MEC server systems. IEEE Access 7:74640–74652. https://doi.org/10.1109/ACCESS.2019.2921317

    Article  Google Scholar 

  20. Wang F, Xu J, Wang X, Cui S (2018) Joint offloading and computing optimization in wireless powered Mobile-edge computing systems. IEEE Trans Wirel Commun 17(3):1784–1797. https://doi.org/10.1109/TWC.2017.2785305

    Article  Google Scholar 

  21. Wang F, Xing H, Xu J (2020) Real-time resource allocation for wireless powered multiuser Mobile edge computing with energy and task causality. IEEE Trans Commun 68(11):7140–7155. https://doi.org/10.1109/TCOMM.2020.3011990

    Article  Google Scholar 

  22. Wu B, Zeng J, Ge L, Su X, Tang Y (2019) Energy-latency aware offloading for hierarchical Mobile edge computing. IEEE Access 7:121982–121997. https://doi.org/10.1109/ACCESS.2019.2938186

    Article  Google Scholar 

  23. Xia S, Yao Z, Li Y, Mao S (2021) Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT. IEEE Trans Wirel Commun 20(10):6743–6757. https://doi.org/10.1109/TWC.2021.3076201

    Article  Google Scholar 

  24. Xu J, Chen L, Ren S (2017) Online learning for offloading and autoscaling in energy harvesting Mobile edge computing. IEEE Transactions on Cognitive Communications and Networking 3(3):361–373. https://doi.org/10.1109/TCCN.2017.2725277

    Article  Google Scholar 

  25. Yang X, Yu X, Huang H, Zhu H (2019) Energy efficiency based joint computation offloading and resource allocation in multi-access MEC systems. IEEE Access 7:117054–117062. https://doi.org/10.1109/ACCESS.2019.2936435

    Article  Google Scholar 

  26. Zhang T, Chen W (2021) Computation offloading in heterogeneous Mobile edge computing with energy harvesting. IEEE Transactions on Green Communications and Networking 5(1):552–565. https://doi.org/10.1109/TGCN.2021.3050414

    Article  Google Scholar 

  27. Zhang W, Wen Y, Guan K, Kilper D, Luo H, Wu DO (2013) Energy-optimal mobile cloud computing under stochastic wireless channel. IEEE Trans Wirel Commun 12(9):4569–4581

    Article  Google Scholar 

  28. Zhang K, Mao Y, Leng S, Zhao Q, Li L, Peng X, Pan L, Maharjan S, Zhang Y (2016) Energy-efficient offloading for Mobile edge computing in 5G heterogeneous networks. IEEE Access 4:5896–5907. https://doi.org/10.1109/ACCESS.2016.2597169

    Article  Google Scholar 

  29. Zhang G, Zhang W, Cao Y, Li D, Wang L (2018) Energy-delay tradeoff for dynamic offloading in Mobile-edge computing system with energy harvesting devices. IEEE Transactions on Industrial Informatics 14(10):4642–4655. https://doi.org/10.1109/TII.2018.2843365

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by the National Natural Science Foundation of China (grant nos. 61841107 and 61461026).

Code availability

The experimental data supporting the system performance analysis are from previously reported studies and datasets, which have been cited.

Author information

Authors and Affiliations

  1. College of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, Gansu, China

    Jianbin Xue, Shang Wu, Zesen Wang, Hainiu Wang & Qingchun Hu

Authors
  1. Jianbin Xue
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shang Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zesen Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hainiu Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Qingchun Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shang Wu.

Ethics declarations

Conflict of interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xue, J., Wu, S., Wang, Z. et al. Research on energy transmission strategy based on MEC in green communication. Multimed Tools Appl 81, 29731–29751 (2022). https://doi.org/10.1007/s11042-022-12997-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-022-12997-8

Keywords

Search

Navigation