Top

Telecommunication Systems

Published in:

01-01-2016

WLAN power saving using packet overhearing reduction

Authors: David Levy, Ivan Kotuliak

Published in: Telecommunication Systems | Issue 1/2016

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The power consumption is important in wireless communication as many devices are battery powered. We focus on this area and propose a method to reduce WLAN device power consumption, particularly on WiFi according to standard 802.11. The proposed method defines a new PHY state that consumes less power than the active states but can switch back fast to an active state. The PHY switches to this state during part of an overheard packet. No change is required to the WLAN protocol or any other device in the network, allowing for full compatibility with the existing devices. The performance analysis is done both analytically and by simulation. It shows that it is possible to reduce average power consumption by up to 30 %.

previous article Temporal video transcoding from H.264/AVC-to-SVC for digital TV broadcasting

next article A distributed transcoding and content protection system

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Dargie, W., Chao, X., & Denko, M. K. (2010). Modelling the energy cost of a fully operational wireless sensor network. Telecommunication Systems, 44(1–2), 3–15.CrossRef

Chiasserini, C.-F., & Magli, E. (2004). Energy-efficient coding and error control for wireless video-surveillance networks. Telecommunication Systems, 26(2–4), 369–387.CrossRef

Sthapit, P., & Pyun, J.-Y. (2013). Medium reservation based sensor MAC protocol for low latency and high energy efficiency. Telecommunication Systems, 52(4), 2387–2395.CrossRef

Seo, S., & Song, J. (2009). An energy-efficient interface selection for multi-mode terminals by utilizing out-of-band paging channels. Telecommunication Systems, 42(1–2), 151–161.CrossRef

Xue, J., Zhang, T., Li, S., & Wang, W. (2013). An adaptive dual-threshold power saving mechanism in WiMAX. Telecommunication Systems, 53(1), 131–137.CrossRef

Kleinschmidt, J. (2013). Analyzing and improving the energy efficiency of IEEE 802.15.4 wireless sensor networks using retransmissions and custom coding. Telecommunication Systems, 53(2), 239–245.CrossRef

Biswas, S., & Datta, S. (2004). Reducing overhearing energy in 802.11 networks by low-power interface idling. IEEE International Conference on Performance, Computing and Communications (pp. 695–700).

Bianchi, G. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications, 18(3), 535–547.CrossRef

Duffy, K., Malone, D., & Leith, D. J. (2005). Modeling the 802.11 distributed coordination function in non-saturated conditions. IEEE Communications Letters, 9(8), 715–717.CrossRef

10.

McFarland, B. (2008). How to use optional wireless power-save protocols to dramatically reduce power consumption, design. EETimes Magazine, May 2008.

11.

IEEE. (2007). IEEE Standard for Information Technology—Telecommunication and information exchange between systems—Local and metropolitan area networks0—Specific requirements. Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. Washington, D.C.: IEEE Computer Society.

12.

Tang, S., Yomo, H., Kondo, Y., & Obana, S. (2012). Wake-up receiver for radio-on-demand wireless LANs. EURASIP Journal on Wireless Communications and Networking, 1, 1–13.CrossRef

13.

Agrawal, P., Kumar, A., Kuri, J., Panda, M., Navda, V., & Ramjee, R. (2010). Analytical models for energy consumption in Infrastructure WLAN STAs carrying TCP traffic. In Communication Systems and Networks (pp. 1–10), 5–9 January, 2010.

14.

Karn, Phil. (1990). MACA, a new channel access method for packet radio. ARRL/CRRL Amateur Radio 9th Computer Networking Conference.

15.

IEEE. (2008). Cisco systems, capacity, coverage, and deployment considerations for IEEE 802.11g, white paper.

16.

Ju, H.-J., Rubin, I. (2003). The effect of disengaging RTS/CTS dialogue in IEEE 802.11 MAC protocol. International Conference on Wireless Networks (pp. 632–638).

17.

Tavli, B., & Heinzelman, W. B. (2004). MH-trace: multi-hop time reservation using adaptive control for energy efficiency. IEEE Journal on Selected Areas in Communications, 22, 942–953.CrossRef

18.

Khan, B. M., & Ali, F. H. (2013). Collision free mobility adaptive (CFMA) MAC for wireless sensor networks. Telecommunication Systems, 52(4), 2459–2474.CrossRef

19.

Palit, R., Naik, K., & Singh, A. (2011). Impact of packet aggregation on energy consumption in smartphones. In 7th International Wireless Communications and Mobile Computing Conference (IWCMC) (pp. 589–594). 4–8 July 2011.

20.

Zeng, Z., Gao, Y., & Kumar, P. R. (2011). SOFA: A sleep-optimal fair-attention scheduler for the power-saving mode of WLANs. In 31st International Conference on Distributed Computing Systems (pp. 87–98). 20–24 June 2011.

21.

Hu, X., Chen, Z., & Yang, Z. (2012). Energy-efficient scheduling strategies in IEEE 802.11 wireless LANs. In IEEE International Conference on Computer Science and Automation Engineering (p. 570–572). May 25–27 2012.

22.

Boulmalf, M., Aouam, T., Ghogho, M., Zaidi, S. A. R., & Yaagoubi, N. (2012). Power savings and performance analysis in wireless networks. In Vehicular Technology Conference (VTC Fall) (p. 1–5). September 3–6 2012.

23.

Frantti, T. (2011). Intelligent power level definition for WLANs. In International Conference on Information Networking (p. 138–142). January 26–28 2011.

24.

Barcelo, J., Toledo, A. L., Cano, C., & Oliver, M. (2010). Fairness and convergence of CSMA with enhanced collision avoidance (ECA). In IEEE International Conference on Communications (pp. 1–6). May 23–27 2010.

25.

Barcelo, J., Bellalta, B., Cano, C., Sfairopoulou, A., Oliver, M., & Verma, K. (2011). Towards a collision-free WLAN: dynamic parameter adjustment in CSMA/E2CA. EURASIP Journal on Wireless Communications and Networking, 2011, 48.CrossRef

26.

Carvalho, M., & Garcia-Luna-Aceves, J. J. (2003). Delay analysis of IEEE 802.11 in single-hop networks. In Proceedings of the IEEE ICNP 03: 11th IEEE International Conference on Network Protocols Atlanta. November 4–7 2003.

27.

Carvalho, M., Margi Katia Obraczka, C., & Garcia-Luna-Aceves, J. J. (2004). Modeling energy consumption in single-hop IEEE 802.11 Ad Hoc Networks. In Proceedings of the IEEE ICCCN 2004 Chicago: IEEE. October 11–13 2004.

28.

Kumar, A., Altman, E., Miorandi, D., & Goyal, M. (2005). New insights from a fixed point analysis of single cell IEEE 802.11 WLANs. In 24th Annual Joint Conference of the IEEE Computer and Communications Societies (Vol. 3, pp. 1550–1561).

29.

Zanella, A., & De Pellegrini, F. (2004). Mathematical analysis of IEEE 802.11 energy effciency. In Proceedings of WPMC04 Abano Terme (Padova). September 12–15 2004.

30.

Levy, D., Kotuliak, I. (2012). WLAN power consumption analytical model. In 5th Joint IFIP Wireless Mobile Networking Conference Bratislava. September 19–20 2012.

31.

Duffy, K. R. (2010). Mean field Markov models of wireless local area networks. Markov Processes and Related Fields, 16(2), 295–328.

32.

Grinstead, C. M., & Snell, J. L. (1997). Introduction to Probability, Chapter 11 (pp. 405–470). Providence: American Mathematical Society.

Title: WLAN power saving using packet overhearing reduction
Authors: David Levy
Ivan Kotuliak
Publication date: 01-01-2016
Publisher: Springer US
Published in: Telecommunication Systems / Issue 1/2016
Print ISSN: 1018-4864
Electronic ISSN: 1572-9451
DOI: https://doi.org/10.1007/s11235-014-9951-y

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 1/2016

Continuous improvement: a goal of New Year

A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols

RER: a real time energy efficient routing protocol for query-based applications in wireless sensor networks

Improvements of DV-Hop localization algorithm for wireless sensor networks

An adaptive competition-based clustering approach for wireless sensor networks

Research on seamless mobility handover for 6LoWPAN wireless sensor networks