A Multi-Scale Statistical Control Process for Mobility and Interference Identification in IEEE 802.11 | Mobile Networks and Applications Skip to main content
Springer Nature Link
Log in

A Multi-Scale Statistical Control Process for Mobility and Interference Identification in IEEE 802.11

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

Abstract

The user centric nature of mobile devices is an important issue for enhancing the user experience in a mobile wireless communication. A strategy for improving such experience consists of applying a resource management focused in providing both the user and the application valuable information about the network context. The communication quality in wireless systems heavily depends on several factors, and adjusting the application and/or alerting the user about the network conditions is an important service when managing this type of devices. The quality perceived by the user depends on the network context, which can be defined as the events that have significant impact on the wireless communication. The identification of the wireless channel behavior is necessary for obtaining a context description. Due to intrinsic features at the wireless signal propagation it is difficult to measure and assess the fundamental wireless network context, e.g., predicting when low quality signal is being caused by interference or fading effects. This work presents a new method for user centric management on IEEE 802.11b/g: a strategy for communication survival, focused in improving the user experience. Our proposal uses a multi-scale control chart approach, MCEWMA – Moving Centerline Exponential Weighted Moving Average, associated with multi-resolution analysis using a wavelet transform.

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
¥17,985 /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 (Japan)

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16

Similar content being viewed by others

References

  1. Aradhye H, Bakshi BR, Strauss RA, Davis JF (2003) Multiscale statistical process control using wavelets—theoretical analysis and properties. AIChE J 49(4):939–958

    Article  Google Scholar 

  2. Bianchi G, Stefano AD, Giaconia C, Scalia L, Terrazzino G, Tinnirello I (2007) Experimental assessment of the backoff behavior of commercial IEEE 802.11b network cards. In: IEEE INFOCOM 2007. 26th IEEE international conference on computer communications. IEEE, Piscataway, pp 1181–1189

    Chapter  Google Scholar 

  3. Chiann C, Morettin PA (1998) A wavelet analysis for time series. J Nonparametr Stat 10:1–48

    Article  MATH  MathSciNet  Google Scholar 

  4. Daubechies I (1992) Ten lectures in wavelets. CBMS-NSF regional conferences series in applied mathematics. SIAM, Society for Industrial and Applied Mathematics, Philadelphia

    Google Scholar 

  5. González MC, Hidalgo CA, Barabási A-L (2008) Understanding individual human mobility patterns. Nature 453(7196):779–782

    Article  Google Scholar 

  6. Graziosi F, Santucci F (2002) A general correlation model for shadow fading in mobile radio systems. IEEE Commun Lett 6(3):102–104

    Article  Google Scholar 

  7. Judd G, Akella A, Seshan S, Steenkiste P (2005) Self-management in chaotic wireless deployments. In: MobiCom’05: Proceedings of the 11th annual international conference on mobile computing and networking. ACM, Cologne, pp 185–199

    Google Scholar 

  8. Kim M, Noble B (2001) Mobile network estimation. In: MobiCom’01: proceedings of the 7th annual international conference on mobile computing and networking. Rome, July 2001, pp 298–309

  9. Long X, Sikdar B (2007) Wavelet based detection of shadow fading in wireless networks. In: IEEE global telecommunications conference, 2007. GLOBECOM ’07, Washington, DC, 26–30 November 2007, pp 305–309

  10. Long X, Sikdar B (2008) A real-time algorithm for long range signal strength prediction in wireless networks. In: IEEE wireless communications and networking conference, 2008. WCNC 2008. IEEE, Piscataway, pp 1120–1125

    Chapter  Google Scholar 

  11. Mallat SG (1999) A wavelet tour of signal processing, 2nd edn. Academic, San Diego

    MATH  Google Scholar 

  12. Mhatre VP, Papagiannaki K, Baccelli F (2007) Interference mitigation through power control in high density 802.11 WLANs. In: INFOCOM 2007: 26th IEEE international conference on computer communications. IEEE, Anchorage, pp 535–543

    Chapter  Google Scholar 

  13. Mhatre V, Papagiannaki K (2006) Using smart triggers for improved user performance in 802.11 wireless networks. In: MobiSys ’06: proceedings of the 4th international conference on mobile systems, applications and services. ACM, New York, pp 246–259

    Chapter  Google Scholar 

  14. Montgomery D (1996) Introduction to statistical quality control. Wiley, New York

    Google Scholar 

  15. Narasimhan R, Cox DC (1999) Speed estimation in wireless systems using wavelets. IEEE Trans Commun 47:1357–1364

    Article  Google Scholar 

  16. Narasimhan R, Cox DC (2000) Speed estimation in wireless systems using wavelets. IEEE J Sel Areas Commun 18:2220–2227

    Article  Google Scholar 

  17. Oliveira RAR, Loureiro AAF (2008) lmproving user experience and resource management in wireless communications. In: 15th IEEE/IFIP network operations and management symposium. IEEE, Piscataway, pp 1–4

    Google Scholar 

  18. Oliveira RAR, Pereira RR, Loureiro AAF (2007) Adaptive configuration of wpans and wlans communications using multi-scale statistical process control. In: MSWiM ’07: proceedings of the 10th ACM symposium on modeling, analysis, and simulation of wireless and mobile systems. ACM, New York, pp 138–142

    Chapter  Google Scholar 

  19. Papagiannaki K, Yarvis M, Conner WS (2006) Experimental characterization of home wireless networks and design implications. In: IEEE INFOCOM 2006. 25th IEEE international conference on computer communications. IEEE, Piscataway, pp 1–13

    Chapter  Google Scholar 

  20. Qiao D, Choi S, Soomro A, Shin KG (2003) Energy-efficient pcf operation of ieee 802.11a wlans via transmit power control. Comput Netw 42(1):39–54

    Article  MATH  Google Scholar 

  21. Rappaport T (2002) Wireless communication systems. Prentice Hall PTR, Englewood Cliffs

    Google Scholar 

  22. Tzagkarakis G, Papadopouli M, Tsakalides P (2007) Singular spectrum analysis of traffic workload in a large-scale wireless lan. In: MSWiM ’07: proceedings of the 10th ACM symposium on modeling, analysis, and simulation of wireless and mobile systems. ACM, New York, pp 99–108

    Chapter  Google Scholar 

  23. Wu H, Tan K, Zhang Y, Zhang Q (2007) Proactive scan: fast handoff with smart triggers for 802.11 wireless LAN. In: IEEE INFOCOM 2007. 26th IEEE international conference on computer communications. IEEE, Piscataway, pp 749–757

    Chapter  Google Scholar 

  24. Zhu J, Guo X, Roy S, Papagiannaki K (2007) CSMA self-adaptation based on interference differentiation. In: IEEE GLOBECOM ’07 global telecommunications conference, 2007, Washington, DC, 26–30 November 2007

Download references

Author information

Authors and Affiliations

  1. Departamento Ciência da Computação, Universidade Federal Minas Gerais, Av. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, MG Belo Horizonte, Brazil

    Ricardo Rabelo Oliveira & Antônio Alfredo Loureiro

  2. Instituto de Computação LCCV & CPMAT, Universidade Federal de Alagoas, BR 104 Norte km 97, 57072-970, Maceió, AL, Brazil

    Alejandro C. Frery

Authors
  1. Ricardo Rabelo Oliveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Antônio Alfredo Loureiro
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alejandro C. Frery
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ricardo Rabelo Oliveira.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Oliveira, R.R., Loureiro, A.A. & Frery, A.C. A Multi-Scale Statistical Control Process for Mobility and Interference Identification in IEEE 802.11. Mobile Netw Appl 14, 725–743 (2009). https://doi.org/10.1007/s11036-008-0125-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-008-0125-6

Keywords

Search

Navigation