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ACK-based adaptive backoff for random access protocols

基于ACK计数的自适应随机接入协议退避策略

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Abstract

In contention-based networks, ALOHA and CSMA are the most popular random access protocols, wherein a station transmits packets after a certain delay according to a particular backoff policy, such as binary exponential backoff (BEB). When a contention-based network is heavily loaded, system performance, in terms of transmission success rate and throughput, degrades dramatically under random backoff policies without considering the backoff choices of the neighborhood. To alleviate this problem, we propose and verify in this paper a highly efficient backoff policy, namely “ACK-based adaptive backoff” (AAB), which takes into account the total number of successful packet transmissions (with ACKs) among neighboring stations in determining a station’s subsequent backoff period before its next packet (re)transmission. By doing this, AAB can effectively reduce the overall packet collisions under heavy-loaded conditions, even with hidden-stations. On comparing with BEB and its modified policy, multiple increase linear decrease (MILD), AAB can achieve about 17% and 10% performance gains of transmission success rate under CSMA protocol in a network with 20 stations with new packet arrival rate of 0.9, and 43% and 16% performance gains of energy efficiency respectively when the former two protocols reach their saturated points.

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References

  1. Lukyanenko A, Gurtov A. Performance analysis of general backoff protocols. J Commun Softw Syst, 2009, 4: 13–21

    Google Scholar 

  2. Demers A, Shenker S, Zhang L. MACAW: A media access protocol for wireless LAN’s. In: Proceedings of ACM SIGCOMM, New York, USA, 1994. 212–225

    Google Scholar 

  3. Song N O, Kwak B J, Song J, et al. Enhancement of IEEE 802.11 distributed coordination function with exponential increase exponential decrease backoff algorithm. In: Proceedings of VTC, Jeju, South Korea, April 2003. 4: 2775–2778

  4. Song N O, Kwak B J, Miller L E. Analysis of EIED backoff algorithm for the IEEE 802.11 DCF. In: Proceedings of VTC, Sept. 2005. 2182–2186

  5. Chatzimisios P, Vitsas V, Boucouvalas A C. DIDD backoff scheme: An enhancement to IEEE 802.11 DCF under burst transmission errors. In: Proceedings of IEEE Sarnoff Symposium, Princeton, USA, 2006. 1–4

    Google Scholar 

  6. Chatzimisios P, Boucouvalas A C, Vitsas V, et al. A simple and effective backoff scheme for the IEEE 802.11 MAC protocol. In: Proceedings of 2nd International Conference on Cybernetics and Information Technologies, Systems and Applications, Orlando, USA, 2005. 1: 48–53

    Google Scholar 

  7. Deng J, Varshney P K, Haas Z J. A new backoff algorithm for the IEEE 802.11 distributed coordination function. In: Proceedings of Sixth International Conference on Fuzzy Systems and Knowledge Discovery, Tianjin, China, 2009. 3: 455–459

    Google Scholar 

  8. Sharma K K, Aggarwal M, Yadav N. Squaring back off based media access control for vehicular Ad-hoc networks. In: Proceedings of the Third International Conference on Soft Computing for Problem Solving Advances in Intelligent Systems and Computing, 2014. 259: 447–455

    Article  Google Scholar 

  9. Angeles R, Rodriguez L, Perez C. Differentiated backoff strategies for prioritized random access delay in multiservice cellular networks. IEEE Trans on Veh Techno, 2009, 58: 381–397

    Article  Google Scholar 

  10. Deng D, Ke C, Chen H, et al. Contention window optimization for IEEE 802.11 DCF access control. IEEE Trans Wirel Commun, 2008, 7: 5129–5135

    Article  Google Scholar 

  11. Bianchi B, Tinnirello I. Kalman filter estimation of the number of competing terminals in an IEEE 802.11 network. In: Proceedings of IEEE INFOCOM, Hong Kong, China, 2004. 844–852

    Google Scholar 

  12. Toledo A, Vercauteren T, Wang X D. Adaptive optimization of IEEE 802.11 dcf based on bayesian estimation of the number of competing terminals. IEEE Trans Mobil Comput, 2006, 5: 1283–1296

    Article  Google Scholar 

  13. He Y, Sun J, Ma X, et al. Semi-random backoff: Towards resource reservation for channel access in wireless lans. IEEE/ACM Trans Netw, 2013, 21: 204–217

    Article  Google Scholar 

  14. Barcelo J, Lopez T, Cano C, et al. Fairness and convergence of CSMA with enhanced collision avoidance (ECA). In: Procceedings of IEEE International conference on Communications (ICC), Cape Town, South Africa, 2010. 1–6

    Google Scholar 

  15. Barcelo J, Bellalta B, Cano C, et al. Towards a collision-freeWLAN: Dynamic parameter adjustment in CSMA/E2CA. Eur J Wirel Commun Netw, 2011, 2011: 708617

    Google Scholar 

  16. Lee J, Walrand J. Design and analysis of an asynchronous zero collision MAC protocol. 2008, preprint arXiv: 0806.3542

    Google Scholar 

  17. Bianchi G. Performance analysis of the IEEE 802.11 distributed coordination function. IEEE J Sel Areas Commun, 2000, 18: 535–547

    Article  Google Scholar 

  18. Tinnirello I, Bianchi G, Xiao Y. Refinements on IEEE 802.11 distributed coordination function modeling approaches. IEEE Trans Veh Techno, 2010, 59: 1055–1067

    Article  Google Scholar 

  19. Kumar A, Altman E, Miorandi D, et al. New insights from a fixed-point analysis of single cell IEEE 802.11 WLANs. IEEE/ACM Trans Netw, 2007, 15: 588–601

    Article  Google Scholar 

  20. Luo J, Jiang L G, He C. An analytical model for SMAC protocol in multi-hop wireless sensor networks. Sci China Inf Sci, 2010, 53: 2323–2331

    Article  MATH  Google Scholar 

  21. Malone D, Duffy K, Leith D. Modeling the 802.11 distributed coordination function in nonsaturated heterogeneous conditions. IEEE/ACM Trans Netw, 2007, 15: 159–172

    Article  Google Scholar 

  22. Liu R P, Sutton G J, Collings I B. A new queueing model for QoS analysis of IEEE 802.11 DCF with finite buffer and load. IEEE Trans Wirel Commun, 2010, 9: 2664–2675

    Article  Google Scholar 

  23. Felemban E, Ekici E. Single hop IEEE 802.11 DCF analysis revisited: Accurate modeling of channel access delay and throughput for saturated and unsaturated traffic cases. IEEE Trans Wirel Commun, 2011, 10: 3256–3266

    Article  Google Scholar 

  24. Dai L, Sun X. A unified analysis of IEEE 802.11 DCF networks: Stability, throughput, and delay. IEEE Trans Mobil Comput, 2013, 12: 1558–1572

    Article  Google Scholar 

  25. Harper L. Stirling behavior is asymptotically normal. Annals Math Stat, 1967, 38: 410–414

    Article  MATH  MathSciNet  Google Scholar 

  26. IEEE standard for information technology. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, part.11. 2012

    Google Scholar 

  27. Ye S, Tseng Y. A multichain backoff mechanism for IEEE 802.11 WLANs. IEEE Trans Veh Techno, 2006, 55: 1613–1620

    Article  Google Scholar 

  28. Choi J, Yoo J, Kim C. A distributed fair scheduling scheme with a new analysis model in IEEE 802.11 wireless LANs. IEEE Trans Veh Techno, 2008, 57: 3083–3093

    Article  Google Scholar 

  29. Yu H, Qin H H, Li Y Z, et al. Energy-efficient power allocation for non-regenerative OFDM relay links. Sci China Inf Sci, 2013, 56: 022306 (8)

    MathSciNet  Google Scholar 

  30. Xu J, Li S C, Qiu L, et al. Energy efficient downlink MIMO transmission with linear precoding. Sci China Inf Sci, 2013, 56: 022309 (12)

    MathSciNet  Google Scholar 

  31. Xiang L, Ge X H, Wang C X, et al. Energy efficiency evaluation of cellular networks based on spatial distributions of traffic load and power consumption. IEEE Trans Wirel Commun, 2013, 12: 961–973

    Article  Google Scholar 

  32. Humar I, Ge X H, Xiang L, et al. Rethinking energy efficiency models of cellular networks with embodied energy. IEEE Netw Mag, 2011, 25: 40–49

    Article  Google Scholar 

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Yang, Y., Song, G., Wei, K. et al. ACK-based adaptive backoff for random access protocols. Sci. China Inf. Sci. 58, 1–14 (2015). https://doi.org/10.1007/s11432-014-5185-6

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  • DOI: https://doi.org/10.1007/s11432-014-5185-6

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