Skip to main content

Advertisement

SpringerLink
Log in

A Low Duty Cycle Efficient MAC Protocol Based on Self-Adaption and Predictive Strategy

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

In the medium access control layer (MAC) of WSN, the scheduling mechanism of nodes based on the periodical listen/sleep is an effective way of saving node energy consumption. In the case of data transmission which is not affected reduces the nodes’ proportions, we improve the protocols based on asynchronous MAC. This paper discusses a protocol which is a low duty cycle energy-efficient MAC protocol for WSN and can be adaptively updated based on the prediction nodes’ wake-up time. We call it AP-MAC protocol. In AP-MAC protocol, the nodes will not wake up or send data in the same period, and they will wake up in random time according to the algorithm that has been set. In this case, the network can avoid the problem of collision, cross-talk, etc. caused by all the nodes’ wake-up in the same time, and save more energy. To ensure the reliable transmission of network data, the node which sends data will predict the wake-up time of receiving nodes and ensure the receiving nodes wake up timely and establish a connection with sending note. At the same time, we join several adaptive update mechanisms in the network according to the dynamic changes of it. The experimental results show that the improved protocol not only can save the network energy consumption by effectively reducing the overall duty cycle of the network nodes and improving the reliable transmission of data but also can improve the adaptability of the network.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

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
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. SARIMSTHA NEOGY (2012) Efficient path selection to propagate data message for optimizing the energy dissipation in WSN. Advances in Intelligent Systems and Computing 176(34):671–683

    Google Scholar 

  2. Zhang D, Li G, Zheng K (2014) An energy-balanced routing method based on forward-aware factor for wireless sensor network. IEEE Transactions on Industrial Informatics 10(1):766–773

    Article  Google Scholar 

  3. Zhang D, Wang X, Song X (2014) A novel approach to mapped correlation of ID for RFID anti-collision. IEEE Trans Serv Comput 7(4):741–748

    Article  Google Scholar 

  4. Wang F, Liu JC (2012) On reliable broadcast in low duty-cycle wireless sensor networks. IEEE Trans on Mobile Computing 11(5):767–779. doi:10.1109/TMC.2011.94

    Article  Google Scholar 

  5. Zhang D, Zhu Y (2012) A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the internet of things (IOT). Computers & Mathematics with Applications 64(5):1044–1055

    Article  MATH  Google Scholar 

  6. Zhang D, Liang Y (2013) A kind of novel method of service-aware computing for uncertain mobile applications. Math Comput Model 57(3–4):344–356

    Article  Google Scholar 

  7. Li ZJ, Li M, Liu JL, Tang SJ (2011) Understanding the flooding in low-duty-cycle wireless sensor networks. In: proc. of the parallel processing (ICPP). IEEE computer society, pp 673–682. doi:10.1109/ICPP.2011.56

  8. Zhang D, Zheng K, Zhang T (2015) A novel multicast routing method with minimum transmission for WSN of cloud computing service. Soft Comput 19(7):1817–1827

    Article  Google Scholar 

  9. Zhang D, Zhang X (2012) Design and implementation of embedded un-interruptible power supply system (EUPSS) for web-based mobile application. Enterprise Information Systems 6(4):473–489

    Article  Google Scholar 

  10. Sha M, Dor R, Hackmann G et al (2013) Self-adapting MAC layer for wireless sensor networks[C]// real-time Systems symposium (RTSS), 2013 I.E. 34th IEEE, pp 192–201

  11. Zhang D (2012) A new approach and system for attentive mobile learning based on seamless migration. Appl Intell 36(1):75–89

    Article  Google Scholar 

  12. Zhang D, Zheng K, Zhao D (2016) Novel quick start (QS) method for optimization of TCP. Wirel Netw 22(1):211–222

    Article  Google Scholar 

  13. Zhang D, Wang X, Song X (2015) New clustering routing method based on PECE for WSN. EURASIP J Wirel Commun Netw 2015(162):1–13. doi:10.1186/s13638-015-0399-x

    Google Scholar 

  14. Wei Y, Heidemann J, Estrin D (2002) An energy-efficient MAC protocol for wireless sensor network. Proceedings of the IEEE INFOCOM'02. New York, NY, USA, pp 1567–1576

  15. Dam TV, Langendoen K (2003) An adaptive energy-efficient MAC protocol for wireless sensor networks. Proceedings of the first international Conference on embedded networked sensor Systems (SenSys'03). Los Angeles, CA, USA, pp 171–180

  16. Wei Y, Silva F, Heidemann J (2006) Ultra-low duty cycle MAC with scheduled channel polling. Proceedings of the 4th ACM SenSys Conference(SenSys'06). Boulder, CO, USA, pp 321–334

  17. Polastre J, Hill J, Culler D (2004) Versatile low power media access for wireless sensor networks. Proceedings of the second ACM SenSys Conference (SenSys’04). Baltimore, MD, USA, pp 95–107

  18. Buettner M, Yee GV, Anderson E (2006) X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks. Proceedings of the 4th ACM SenSys Conference (SenSys'06). Boulder, CO, USA, pp 307–320

  19. Cao H, Parker KW, Arora A (2006) O-MAC: a receiver centric power management protocol. Proceedings of the 14th IEEE international Conference on network protocols (ICNP'06). Santa Barbara, CA, USA, pp 311–320

  20. El-Hoiydi A, Decotignie J-D (2004) Wise MAC: an ultra low power MAC protocol for multi-hop wireless sensor networks. Lect Notes Comput Sci 3121:18–31

    Article  MATH  Google Scholar 

  21. Zhetao L, Ming Z, Zhiqiang W et al (2013) Low duty cycle and low collision of asynchronous wireless sensor network MAC protocol. J Commun :9-16

  22. Sun Y, Gurewitz O, Johnson DB (2008) RI-MAC: a receiver initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. Proceedings of the 6th ACM SenSys Conference(SenSys'08). Raleigh, NC, USA, pp 1–14

  23. Tang L, Sun Y, Gurewitz O et al (2011) PW-MAC: an energy-efficient predictive-wakeup MAC protocol for wireless sensor networks. Proceedings-IEEE INFOCOM 34(17):1305–1313

    Google Scholar 

Download references

Acknowledgements

This research work is supported by National Natural Science Foundation fo China (Grant No.61571328), Major projects of science and technology in Tianjin (No.15ZXDSGX00050), Training plan of Tianjin University Innovation Team (No.TD12-5016), Major projects of science and technology for their service in Tianjin (No.16ZXFWGX00010), Training plan of Tianjin 131 Innovation Talent Team (No.TD2015-23).

Author information

Authors and Affiliations

  1. Tianjin Key Lab of Intelligent Computing & Novel Software Technology, Tianjin University of Technology, Tianjin, 300384, China

    De-gan Zhang

  2. Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, 300384, China

    De-gan Zhang, Shan Zhou & Ya-meng Tang

  3. School of Electronic and Information Engineering, University of Sydney, Sydney, 2006, NSW, Australia

    De-gan Zhang

Authors
  1. De-gan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shan Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ya-meng Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to De-gan Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Dg., Zhou, S. & Tang, Ym. A Low Duty Cycle Efficient MAC Protocol Based on Self-Adaption and Predictive Strategy. Mobile Netw Appl 23, 828–839 (2018). https://doi.org/10.1007/s11036-017-0878-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-017-0878-x

Keywords

Search

Navigation