Skip to main content

Advertisement

SpringerLink
Log in

Cascaded Energy Detector and Matched Filter-Clear Channel Assessment for Wireless Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper, a novel cascaded-clear channel assessment (CCA) method: cascaded energy detector matched filter (CEM) is proposed for wireless network. CEM cartel the advantages of two CCA mechanisms, energy efficient energy detector (ED) and reliable matched filter (MF) to devise a new approach of CCA in wireless network. The probability of detection and false alarm of CEM are depicted in receiver operation curves and are compared with other CCA methods such as ED, MF, preamble detection (PD), and cascaded CCA (Shin et al. in Trans Internet Inf Syst 5(8):1404–1422, 2011) through simulations and analytic calculations. The performance of CEM is evaluated via simulations that implement CCA modules and medium access control protocol for IEEE 802.15.4 as a representative example. Throughput, energy consumption and energy efficiency are used for the performance measurement of our proposed CEM detector. Simulation results show that CEM has higher energy efficiency among other CCA methods and higher throughput compared to Shin et al. (Trans Internet Inf Syst 5(8):1404–1422, 2011).

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

Similar content being viewed by others

References

  1. Shin, S. Y., Ramachandran, I., & Roy, S. (2011). New energy efficient clear channel assessment for wireless network. Transactions on Internet and Information Systems, 5(8), 1404–1422.

    Google Scholar 

  2. Xu, S., & Saadawi, T. (2011). Does the IEEE 802.11 MAC protocol work well in multihop wireless ad-hoc networks? IEEE Communications Magazine, 39(6), 130–137.

    Article  Google Scholar 

  3. Zhao, Z., Yang, G. H., Liu, Q., Li, V. O. K., & Cui, L. (2011). Implementation and application of a multi-radio wireless sensor networks testbed. Wireless Sensor Systems, IET, 1(4), 191–199.

    Article  Google Scholar 

  4. Shin, S. Y., Ramachandran, I., Roy, S., & Kwon, Wook-Hyun. (2007). Cascaded clear channel assessment: Enhanced carrier sensing for cognitive radios. In: IEEE international conference on communications, 2007. ICC ’07, pp. 6532–6537, June.

  5. Park, K. Y. (1978). Performance evaluation of energy detectors. IEEE Transactions on Aerospace and Electronic Systems, 14(2), 237–241.

    Article  Google Scholar 

  6. Nagaraj, S., Khan, S., Schlegel, C., & Burnashev, M. V. (2009). Differential preamble detection in packet-based wireless networks. IEEE Transactions on Wireless Communications, 8(2), 599–607.

    Article  Google Scholar 

  7. Giannakis, G. B., & Tsatsanis, M. K. (1990). Signal detection and classification using matched filtering and higher order statistics. IEEE Transactions on Acoustics, Speech and Signal Processing, 38(7), 1284–1296.

    Article  MATH  Google Scholar 

  8. Jurdak, R., Ruzzelli, A. G., & O”Hare, G. M. P. (2010). Radio sleep mode optimization in wireless sensor networks. IEEE Transactions on Mobile Computing, 9(7), 955–968.

    Article  Google Scholar 

  9. Park, T. R., Kim, T. H., Choi, J. Y., Choi, S., & Kwon, W. H. (2005). Throughput and energy consumption analysis of IEEE 802.15.4 slotted CSMA/CA. Electronics Letters, 41(18), 1017–1019.

    Article  Google Scholar 

  10. Zheng, R., Hou, J. C., & Sha, L. (2006). Performance analysis of power management policies in wireless networks. IEEE Transactions on Wireless Communications, 5(6), 1351–1361.

    Article  Google Scholar 

  11. Anastasi, G., Conti, M., Gregori, E., & Passarella, A. (2004). Saving energy in Wi-Fi hotspots through 802.11 PSM: An analytical model. In: Proceedings of the workshop on linguistic theory and grammar implementation, ESSLLI-2000, pp. 24–26.

  12. Ha, J. Y., Kim, T. H., Park, H. S., Choi, S., & Kwon, W.-H. (2007). An enhanced CSMA-CA algorithm for IEEE 802.15.4 LR-WPANs. IEEE Communications Letters, 11(5), 461–463.

    Article  Google Scholar 

  13. Lehtomäki, J. J., Vartiainen, J., Vuohtoniemi, R., & Saarnisaari, H. (2011). Adaptive FCME-based threshold setting for energy detectors. In: Proceedings of the 4th international conference on cognitive radio and advanced spectrum management, pp. 33:1–33:5, New York, NY, USA. ACM.

  14. Urkowitz, H. (1967). Energy detection of unknown deterministic signals. Proceedings of the IEEE, 55(4), 523–531.

  15. ANSI/IEEE Std. 802.11. (1999). Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specification: High-speed physical layer extension in the 2.4 GHz band.

  16. Proakis, J. (2000). Digital communications, (4th ed.). McGraw-Hill Science/Engineering/Math.

  17. Ramachandran, I., & Roy, S. (2006). On the impact of clear channel assessment on MAC performance. In: GLOBECOM IEEE.

  18. Gallager, R. G. (1996). Discrete stochastic processes. Boston: Kluwer Academic Publishers.

    Book  Google Scholar 

  19. IEEE. (2003). 802.15.4 Part 15.4 : Wireless medium access control and physical layer specification for low rate wireless personal are networks.

  20. AT86RF231 PCB reference design for antenna diversity reference. Texas Instrument Datasheet, (2008).

  21. Ramachandran, I., & Roy, S. (2007). Clear channel assessment in energy constrained wideband wireless networks. IEEE Wireless Communications, 14(3), 70–78.

    Article  Google Scholar 

  22. Pollin, S., Ergen, M., Ergen, S.C., Bougard, B., Van der Perre, L., Catthoor, F., Moerman, I., Bahai, A., & Varaiya, P. (2006). WLC10-5: Performance analysis of slotted carrier sense IEEE 802.15.4 medium access layer. In: Global telecommunications conference, 2006. GLOBECOM ’06. IEEE, pp. 1–6.

Download references

Acknowledgments

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the CITRC (Convergence Information Technology Research Center) Support Program (IITP–2015–H8601–15–1011) supervised by the IITP (Institute for Information & communications Technology Promotion) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2012R1A1A1009442).

Author information

Authors and Affiliations

  1. Wireless and Emerging Network System Lab, School of Electronic Engineering, Kumoh National Institute of Technology, Gumi, South Korea

    Dimas Triwicaksono, Ashish Rauniyar & Soo Young Shin

Authors
  1. Dimas Triwicaksono
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ashish Rauniyar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Soo Young Shin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Soo Young Shin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Triwicaksono, D., Rauniyar, A. & Shin, S.Y. Cascaded Energy Detector and Matched Filter-Clear Channel Assessment for Wireless Network. Wireless Pers Commun 84, 2427–2443 (2015). https://doi.org/10.1007/s11277-015-2713-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-015-2713-7

Keywords

Search

Navigation