Wireless Personal Communications

, Volume 72, Issue 2, pp 1467–1473 | Cite as

IO–MAC: An Enhancement of IEEE 802.11 DCF Using Implicit Ordering

Article
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Abstract

In this paper, we present a novel medium access control protocol which is based on the IEEE 802.11 distributed coordination function (DCF) and embeds new capability allowing stations to make use of implicit ordering for transmissions. Using them, stations may avoid random access attempts. Implicit ordering is assumed without any control messages and enables contention-free transmissions. We evaluate the performance of the proposed protocol by simulation and show that the proposed protocol outperforms both the legacy DCF and the ideal DCF with respect to the channel utilization.

Keywords

MAC protocol WLANs IEEE 802.11 DCF Implicit ordering 

Notes

Acknowledgments

“This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the IT Consilience Creative Program support program supervised by the NIPA (National IT Industry Promotion Agency)” (C1515-1121-0003). “This research was supported by the MKE (The Ministry of Knowledge Economy), Korea and Microsoft Research, under IT/SW Creative research program supervised by the NIPA (National IT Industry Promotion Agency)” (NIPA-2012-H0503-12-1031).

References

  1. 1.
    IEEE-SA Standards Board. (2007). IEEE standard for information technology-telecommunications and information exchange between systems-local and metropolitan area networks-specific requiremens-part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. IEEE Std 802. 11-2007 (Revision of IEEE Std 802.11-1999).Google Scholar
  2. 2.
    Cheng, S., & Wu, M. (2009). Contention-polling duality coordination function for IEEE 802.11 WLAN family. IEEE Transactions on Communications, 57(3), 779–788.CrossRefGoogle Scholar
  3. 3.
    He, Y., Sun, K., Yuan, R., & Gong, W. (2010). A reservation based backoff method for video streaming in 802.11 home networks. IEEE Journal on Selected Areas in Communications, 28(3), 332–343.CrossRefGoogle Scholar
  4. 4.
    Jiang, L., & Walrand, J. (2010). A distributed CSMA algorithm for throughput and utility maximization in wireless networks. IEEE/ACM Transactions on Networking, 28(3), 960–972.CrossRefGoogle Scholar
  5. 5.
    Jain, R., Chiu, D., & Hawe, W. (1984). A quantitative measure of fairness and discrimination for resource allocation in shared computer systems. DECResearch, Report TR-301.Google Scholar
  6. 6.
    OPNET simulator. http://www.opnet.com.

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringPohang University of Science and Technology Pohang, GyungbukRepublic of Korea

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