Skip to main content
SpringerLink
Log in

An Adaptive MAC Layer Energy-Saving Algorithm for ZigBee-Enabled IoT Networks

  • Conference paper
  • First Online:
Book cover Smart City and Informatization (iSCI 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1122))

Included in the following conference series:

Abstract

Energy conservation has become a major bottleneck for wide deployment of Internet of Things (IoT) technologies. This paper presents energy consumption analysis of ZigBee-enabled IoT networks, and shows the primary energy consumption in a node from a practical aspect. Based on the analysis and experimental measurement, this paper proposes an adaptive MAC layer energy-saving algorithm. This algorithm can adaptively configure the MAC layer in each node based on real-time network traffic conditions. The aim is to minimize the power consumption of each node achieving a longer lifetime and better quality of service. In addition, a software and hardware experimental platform has been built up to verify the reliability and effectiveness of the algorithm. The experimental results show that the adaptive MAC layer energy-saving algorithm is effective and efficient in minimizing node energy consumption.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  Google Scholar 

  2. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of Things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutor. 17(4), 2347–2376 (2015)

    Article  Google Scholar 

  3. Karalis, A., Joannopoulos, J.D., Soljačić, M.: Efficient wireless non-radiative midrange energy transfer. Ann. Phys. 323(1), 34–48 (2008)

    Article  Google Scholar 

  4. Peng, X., Yin, J., Mak, P.I., Yu, W.H., Martins, R.P.: A 2.4-GHZ ZigBee transmitter using a function-reuse class-F DCO-PA and an ADPLL achieving 22.6% (14.5%) system efficiency at 6-dBm (0-dBm) \( P_{out}\). IEEE J. Solid-State Circuits 52(6), 1495–1508 (2017)

    Google Scholar 

  5. El-Hoiydi, A., Decotignie, J.D.: Low power downlink MAC protocols for infrastructure wireless sensor networks. Mob. Netw. Appl. 10(5), 675–690 (2005)

    Article  Google Scholar 

  6. Raghunathan, V., Ganeriwal, S., Srivastava, M.: Emerging techniques for long lived wireless sensor networks. IEEE Commun. Mag. 44(4), 108–114 (2006)

    Article  Google Scholar 

  7. Anchora, L., Capone, A., Mighali, V., Patrono, L., Simone, F.: A novel MAC scheduler to minimize the energy consumption in a wireless sensor network. Ad Hoc Netw. 16, 88–104 (2014)

    Article  Google Scholar 

  8. Alhmiedat, T.: Low-power environmental monitoring system for ZigBee wireless sensor network. KSII Trans. Internet Inf. Syst. 11(10), 4781–4803 (2017)

    Google Scholar 

  9. Pan, M.S., Tseng, Y.C.: Quick convergecast in ZigBee beacon-enabled tree-based wireless sensor networks. Comput. Commun. 31(5), 999–1011 (2008)

    Article  Google Scholar 

  10. Li, S.: Energy consumption optimization method of wireless sensor networks based on ZigBee. Ph.D. thesis, Hunan University (2010)

    Google Scholar 

  11. Zhen, C., Liu, W., Liu, Y., Yan, A.: Energy-efficient sleep/wake scheduling for acoustic localization wireless sensor network node. Int. J. Distrib. Sens. Netw. 10(2), 970524 (2014)

    Article  Google Scholar 

  12. Shun, J.: Research on energy consumption mechanism based on ZigBee network. Ph.D. thesis, Beijing University of Posts and Telecommunications (2015)

    Google Scholar 

  13. Jiang, B.: Research on MAC layer energy-efficient for ZigBee wireless sensor network. Ph.D. thesis, Shanghai Jiao Tong University (2014)

    Google Scholar 

  14. Bai, F.: Research on energy efficiency technology for ZigBee-based wireless sensor network. Ph.D. thesis, National University of Defense Technology (2008)

    Google Scholar 

  15. Gharghan, S., Nordin, R., Ismail, M.: Energy-efficient ZigBee-based wireless sensor network for track bicycle performance monitoring. Sensors 14(8), 15573–15592 (2014)

    Article  Google Scholar 

  16. ZigBee Alliance: ZigBee specification (2019). http://www.zigbee.org

  17. IEEE: IEEE standard for local and metropolitan area networks-part 15.4: low-rate wireless personal area networks (LR-WPANs). IEEE Std 802.15.4-2011 (Revision of IEEE Std 802.15.4-2006), pp. 1–314, September 2011. https://doi.org/10.1109/IEEESTD.2011.6012487

  18. Willig, A.: Recent and emerging topics in wireless industrial communications: a selection. IEEE Trans. Ind. Inform. 4(2), 102–104 (2008)

    Article  Google Scholar 

Download references

Acknowledgments

The work in this paper was partly supported by National Natural Science Foundation of China (NSFC) projects (61572389 and 61620106011), and Zhongshan City Team Project (No. 180809162197874).

Author information

Authors and Affiliations

  1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Yaxuan Zhang

  2. School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO43SQ, UK

    Kun Yang

  3. Institute of Zhongshan, University of Electronic Science and Technology of China, Zhongshan, 528400, China

    Kun Yang & Hui Chen

Authors
  1. Yaxuan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kun Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hui Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yaxuan Zhang .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. University of Ottawa, Ottawa, ON, Canada

    Abdulmotaleb El Saddik

  3. Shanghai Jiao Tong University, Shanghai, China

    Xuejia Lai

  4. University of Murcia, Murcia, Spain

    Gregorio Martinez Perez

  5. The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, Y., Yang, K., Chen, H. (2019). An Adaptive MAC Layer Energy-Saving Algorithm for ZigBee-Enabled IoT Networks. In: Wang, G., El Saddik, A., Lai, X., Martinez Perez, G., Choo, KK. (eds) Smart City and Informatization. iSCI 2019. Communications in Computer and Information Science, vol 1122. Springer, Singapore. https://doi.org/10.1007/978-981-15-1301-5_29

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-1301-5_29

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1300-8

  • Online ISBN: 978-981-15-1301-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation