Skip to main content

Advertisement

SpringerLink
Log in

A Dynamic Adaptation Mechanism for Traffic Conditions in Wireless Sensor Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

As overall network traffic pursue to expand, a lot of low-power medium access control protocols have been proposed to deal with burst traffic in wireless sensor network. Although most of them provide low throughput but do not well optimize the energy consumption. In this paper, we propose a new hybrid carrier sense multiple access with collision avoidance (CSMA/CA) and time division multiple access (TDMA) protocol that arranges nodes into two categories of priority according to their traffic rate and data transmission delay. Nodes that have continuous data should send its data during the contention free period, those one will be classified as low priority and its data will be scheduling using TDMA. Others nodes who have a random data should transmit it immediately during the contention access period (CAP) using a fuzzy logic algorithm, based on their queue length and implemented in the CSMA/CA algorithm. Therefore, the proposed scheme dynamically changes the CAP length to ensure that nodes can complete its transaction during the same super-frame. Simulation results are done using the network simulator tools (NS-2) and have improved good efficiency regarding the IEEE 802.15.4 standard. The mechanism has improved the energy consumption, minimised the packet loss probability, increased the throughput variation in the network and also minimised the average end to end delay.

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

Similar content being viewed by others

References

  1. Ramya, R., Saravanakumar, G., & Ravi, S. (2015). MAC protocols for wireless sensor networks. Indian Journal of Science and Technology. https://doi.org/10.17485/ijst/2015/v8i34/72318.

    Google Scholar 

  2. Cengiz, K., & Dag, T. (2015). A review on the recent energy-efficient approaches for the Internet protocol stack. Journal on Wireless Communications and Networking, 2015, 108.

    Article  Google Scholar 

  3. Zhang, H., Cheng, P., Shi, L., & Chen, J. (2015). Optimal denial-of-service attack scheduling with energy constraint. IEEE Transactions on Automatic Control, 60(11), 3023–3028.

    Article  MathSciNet  MATH  Google Scholar 

  4. He, S., Chen, J., Jiang, F., Yau, D., Xing, G., & Sun Y. (2013). Energy provisioning in wireless rechargeable sensor networks. IEEE Transactions on Mobile Computing, 12(10), 1931–1942.

    Article  Google Scholar 

  5. Jamalabdollahi, M., Zekavat, R., & Seyed, A. (2015). Joint neighbor discovery and time of arrival estimation in wireless sensor networks via OFDMA. IEEE Sensors J., 15(10), 5821–5833.

    Article  Google Scholar 

  6. Wang, H., & Chi, X. (2016). Energy adaptive MAC protocol for IEEE 802.15.7 with energy harvesting. Optoelectronics Letters, 12, 370. https://doi.org/10.1007/s11801-016-6163-6.

    Google Scholar 

  7. Oh, H., Azad, M. A. K. (2016) A big slot scheduling algorithm for the reliable delivery of real-time data packets in wireless sensor networks. Wireless Communications, Networking and Applications. Lecture notes in electrical engineering (Vol. 348). https://doi.org/10.1007/978-81-322-2580-5_2.

  8. Sreejith, V., Suriyadeepan, R., Anupama, K. R., & Lucy, J. (2016). DS-MMAC: Dynamic schedule based MAC for mobile. Wireless Sensor Network. https://doi.org/10.1145/2851613.2851999.

    Google Scholar 

  9. Guerroumi, M., Pathan, A. S. K., Derhab, A., et al. (2016). MMSMAC: A multi-mode medium access control protocol for wireless sensor networks with latency and energy-awareness. Wireless Personal Communications. https://doi.org/10.1007/s11277-016-3726-6.

    Google Scholar 

  10. Wang, J., Ren, X., Chen, F., et al. (2015). On MAC optimization for large-scale wireless sensor network. Wireless Networks, 22, 1877. https://doi.org/10.1007/s11276-015-1073-2.

    Google Scholar 

  11. Subramanian, A. K., & Paramasivam, I. (2017). PRIN: A priority-based energy efficient MAC protocol for wireless sensor networks varying the sample inter-arrival time. Wireless Personal Communications, 92, 863. https://doi.org/10.1007/s11277-016-3581-5.

    Google Scholar 

  12. Chen, Z., Liu, A., Li, Z., et al. (2016). Distributed duty cycle control for delay improvement in wireless sensor networks. Peer-to-Peer Networking and Applications . https://doi.org/10.1007/s12083-016-0501-0.

    Google Scholar 

  13. Deepak, K. S., & Babu, A. V. (2016). Energy consumption analysis ofmodulation schemes in IEEE 802.15.6-based wireless body area networks. Deepak and Babu EURASIP Journal on Wireless Communications and Networking. https://doi.org/10.1186/s13638-016-0682-5.

    Google Scholar 

  14. Mainetti, L., Vincenzo, M., Patrono, L. (2015). HEC-MAC: A hybrid energy-aware cross-layer MAC protocol for wireless sensor networks. International Journal of Distributed Sensor Networks. Article ID 536794, 12 pages.

  15. Annabel, L. S. P., & Murugan, K. (2015). Energy-efficient quorum-based MAC protocol for wireless sensor networks. ETRI Journal, 37(3), 480.

    Article  Google Scholar 

  16. Rajesh, B. Shyamala, D., George, A. (2015). Hybrid CSMA/CA-TDMA based MAC protocols for wireless sensor networks. ARPN Journal of Engineering and Applied Sciences. 10(4).

  17. Lee, B.-H., Yundra, E., Wu, H.-K., & Al Rasyid, M. U. H. (2015). Analysis of superframe duration adjustment scheme for IEEE 802.15.4 networks. Journal on Wireless Communications and Networking, 2015, 103.

    Article  Google Scholar 

  18. Mohamed, B., Houria, R., Tahar, E. (2015). A comprehensive performance study of the contention access period of the slotted IEEE 802.15.4. In The international conference on advanced wireless, information, and communication technologies (AWICT).

  19. Bhandari, S., & Moh, S. (2016). A priority-based adaptive MAC protocol for wireless body area networks. Sensors, 16, 401. https://doi.org/10.3390/s16030401.

    Google Scholar 

  20. Varsha, J., Shweta, A., Kuldeep, G. (2014). Energy consumption improvements by priority based MAC protocol for WSN. International Journal of Computer Applications ® (IJCA) (0975 – 8887) National seminar on recent advances in wireless networks and communications, NWNC.

  21. Hsieh, T. -H., Lin, K. -Y. Wang, P. -C. (2015) A hybrid MAC protocol for wireless sensor networks. In Proceedings of 2015 IEEE 12th international conference on networking, sensing and control.

  22. Mouzehkesh, N., Zia, T., Shafigh, S., et al. (2015). Dynamic backoff scheduling of low data rate applications in wireless body area networks. Wireless Networks, 21, 2571. https://doi.org/10.1007/s11276-015-0929-9.

    Google Scholar 

  23. Hassan, M. N., Murphy, L., & Stewart, R. (2016). Traffic differentiation and dynamic duty cycle adaptation in IEEE 802.15.4 beacon enabled WSN for real-time applications. Telecommunication Systems, 62, 303. https://doi.org/10.1007/s11235-015-0074-x.

    Google Scholar 

  24. Domżał, J., Duliński, Z., Rząsa, J., et al. (2016). Automatic hidden bypasses in software-defined networks. Journal of Network and Systems Management. https://doi.org/10.1007/s10922-016-9397-5.

    Google Scholar 

  25. Imen, B., Jamila, B., Semia, B., Mohamed, A. (2016) A fuzzy based approach for priority allocation in wireless sensor networks. In 3rd international conference on automation, control, engineering and computer science (ACECS’16). Proceeding of ingeniring and technology (pp. 547–552).

Download references

Author information

Authors and Affiliations

  1. Department of Physics, EμE Laboratory, Faculty of Science of Monastir, Monastir, Tunisia

    Imen Bouazzi, Jamila Bhar & Mohamed Atri

Authors
  1. Imen Bouazzi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jamila Bhar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohamed Atri
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Imen Bouazzi.

Ethics declarations

Conflict of interest

Authors declare that there is no conflict of interests 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

Bouazzi, I., Bhar, J. & Atri, M. A Dynamic Adaptation Mechanism for Traffic Conditions in Wireless Sensor Network. Wireless Pers Commun 101, 1967–1982 (2018). https://doi.org/10.1007/s11277-018-5801-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5801-7

Keywords

Search

Navigation