Advertisement

Energy-efficient analysis of an IEEE 802.11 PCF MAC protocol based on WLAN

  • Guan Zheng
  • Yang Zhi-Jun
  • He Min
  • Qian Wen-HuaEmail author
Original Research

Abstract

The point coordination function (PCF) of the IEEE 802.11 standard represents a well-known medium access control (MAC) protocol providing quality-of-service guarantees in wireless local area networks (WLANs). However, few papers theoretically analyze energy efficiency. This paper presents a Parallel Gated Poll (PGP) access mechanism that exploits the PCF defined in the IEEE 802.11. The basic idea is, during the contention free period, idle stations can save energy by turning into sleep and active stations exchange data packet under a gated service polling scheme to improve the energy efficiency. Besides, the mean cycle analysis model is setup to evaluate the energy efficiency of a typically PCF protocol and PGP protocol. By applying the classic 1-limited and parallel gated polling model, the closed expressions of energy efficiency of PCF and PGP are formulated respectively. Simulations show that our analytical results are very accurate with the simulation results. Both analytical and simulation results show the high energy efficiency of PGP.

Keywords

IEEE 802.11 Point coordination function Energy efficiency Theoretical analysis 

Notes

Acknowledgements

This work was supported by a Grant from the National Science Foundation of China (No. 61463051, No.61761045, No.61463049 and No.61461054), and the National Science Foundation of Yunnan Province (No.2017FB100).

References

  1. Angelopoulos G, Medard M, Chandrakasan A (2017) Harnessing partial packets in wireless networks: throughput and energy benefits. IEEE Trans Wireless Commun 16(2):694–704CrossRefGoogle Scholar
  2. Balador A, Calafate A, Cano J (2016) A reliable token-based MAC protocol for V2V communication in urban VANET. In: Proceedings of the 2016 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’2016) 16556048Google Scholar
  3. Chan SCF, Chan KM, Liu K, Lee JYB (2014) On queue length and link buffer size estimation in 3G/4G mobile data networks. IEEE Trans Mob Comput 13(6):1298–1311CrossRefGoogle Scholar
  4. Chou K, Lin W (2013) Performance analysis of packet aggregation for IEEE 802.11 PCF MAC-based wireless network. IEEE Trans Wirel Commun 12(4):1441–1447CrossRefGoogle Scholar
  5. Dorsman JPL, Borst SC, Boxma OJ et al (2015) Markovian polling systems with an application to wireless random-access networks. Perform Eval 85(3):33–51CrossRefGoogle Scholar
  6. Feng L, Li J, Lin X (2013) A new delay analysis for IEEE 802.11 PCF. IEEE Trans Veh Technol 62(8):4064–4069CrossRefGoogle Scholar
  7. Ibe OC, Cheng X (1988) Stability conditions for multi-queue systems with cyclic service. IEEE Tans Automat Control 33(1):102–103CrossRefzbMATHGoogle Scholar
  8. IEEE 802.11 Std (2012) IEEE, Part 11: wireless LAN medium access control (MAC) and physical layer (PHY) specificationsGoogle Scholar
  9. IEEE 802.11e Std (2005) Specific requirements Part 11: wireless LAN medium access control (MAC) and physical layer (PHY) specifications, Amendment 8: Medium Access Control (MAC) quality of service enhancementsGoogle Scholar
  10. Kamerman A, Monteban L (1997) WaveLAN-II: a high-performance wireless LAN for the unlicensed band. Bell Labs Technical J 2(3):118–133CrossRefGoogle Scholar
  11. Li J, Fan Y, Chen H et al (2014) Performance analysis for WLAN medium access control protocol in simulcast radio-over-fiber-based distributed antenna systems. China Commun 11(5):37–48CrossRefGoogle Scholar
  12. Li F, Yu J, Zhao F, Jiang H (2017) A novel analysis of delay and power consumption for polling schemes in IoT. Tinghua Sci Technol 22(4):368–378CrossRefGoogle Scholar
  13. Liu QL, Zhao DF, Zhou DM (2011) An analytic model for enhancing IEEE 802.11 point coordination function media access control protocol. Eur Trans Telecommun 22(6):332–338CrossRefGoogle Scholar
  14. Mercian A, Gurrola EI, Aurzada F et al (2016) Upstream polling protocols for flow control in PON/xDSL hybrid access networks. IEEE Trans Commun 64(7):2971–2984CrossRefGoogle Scholar
  15. Moharir S, Krishnasamy S, Shakkottai S. [J] (2017) Scheduling in densified networks: algorithms and performance. IEEE/ACM Trans Networking 25(1):164–178CrossRefGoogle Scholar
  16. Muhammad BR, Nadeem J, Muhammad AI, Athanasios V (2017) Delay and energy consumption analysis of priority guaranteed MAC protocol for wireless body area networks. Wireless Netw 23(4):1249–1266CrossRefGoogle Scholar
  17. Panagiotakis A, Nicopolitidis P, Papadimitriou GI et al (2015) Performance increase for highly-loaded RoF access networks. IEEE Commun Lett 19(9):1628–1631CrossRefGoogle Scholar
  18. Raul P, Fabrizio G, Danica G, Christian L, Dzmitry K (2013) An energy-efficient point coordination function using bidirectional transmissions of fixed duration for infrastructure IEEE 802.11 WLANs. In: Proceedings of the 2013 IEEE International Conference on Communications (ICC’ 2013) 1036–1041Google Scholar
  19. Raul P, Jesus A, Dzmitry K et al. (2015) Analysis of an energy-efficient MAC protocol based on polling for 802.11 WLAN. In: Proceedings of the 2015IEEE International Conference on Communication (ICC’ 2015) 5941–5947Google Scholar
  20. Sao SLT, Huang CH (2011) Review: a survey of energy efficient MAC protocols for IEEE 802.11 WLAN. ACM Comput Commun 34(1):54–67CrossRefGoogle Scholar
  21. Satish A, Minglu J (2016) Energy-efficient hybrid CCC-Based MAC protocol for cognitive radio Ad Hoc networks. IEEE Syst J 10(1):358–369CrossRefGoogle Scholar
  22. Tsilimantos D, Gorce J, Altman E (2013) Stochastic analysis of energy savings with sleep mode in OFDMA wireless networks. In: Proceedings of the 2013 IEEE International Conference on Computer Communications (INFOCOM’ 2013) 1097–1105Google Scholar
  23. Wu J, Huang G (2010) Simulation study based on QoS schemes for IEEE 802.11.In: Proceedings of the 2010 International Conference on Advanced Computer Theory and Engineering (ICACTE’2010), 534–538Google Scholar
  24. Ye W, Heidemann H, Estrin D (2002) An energy-efficiency MAC protocol for wireless sensor network. In: Proceedings of the 2002 IEEE International Conference on Computer Communications (INFOCOM’ 2002)1576–1576Google Scholar
  25. Zhao D, Li B, Zheng S (1997) Study of a polling systems with limited service. J Electron 19(1):44–49 (Chinese)Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Guan Zheng
    • 1
  • Yang Zhi-Jun
    • 1
    • 2
  • He Min
    • 1
  • Qian Wen-Hua
    • 1
    Email author
  1. 1.School of Information Science and TechnologyYunnan UniversityKunmingChina
  2. 2.Educational and Scientific InstituteEducational Department of Yunnan ProvinceKunmingChina

Personalised recommendations