Collision Resolution Schemes with Nonoverlapped Contention Slots for Heterogeneous and Homogeneous WLANs

CSMA/CA-based DCF of 802.11 MAC layer employs a best-effort delivery model, in which stations compete for channel access with the same priority. In a heterogeneous network, providing different priorities to different applications for required quality of service is a challenging task, since heterogeneous conditions result in unfairness among stations and degradation in the throughput. This paper proposes a class of collision resolution schemes for 802.11 having contention window control with nonoverlapped contention slots. In the first scheme, window ranges of two consecutive stages are nonoverlapped, and it is called nonoverlapped contention slots (NOCS) scheme. In the other scheme, termed as NOCS-offset, an offset is introduced between window ranges of two stages. Selection of a random value by a station for its contention with discontinuous distribution results in reduced probability of collision. Analytical and simulation results show that the proposed scheme exhibits higher throughput and fairness with reduced delay and collision probability in homogeneous and heterogeneous networks. Performance of the proposed scheme is evaluated for mix traffic and high data rate environment with advanced back-off management techniques to meet the requirements of the present applications.

[1]  Eitan Altman,et al.  New Insights From a Fixed-Point Analysis of Single Cell IEEE 802.11 WLANs , 2007, IEEE/ACM Transactions on Networking.

[2]  Jong-Tae Lim,et al.  Throughput analysis considering coupling effect in ieee 802.11 networks with hidden stations , 2009, IEEE Commun. Lett..

[3]  Gordon Bell,et al.  Ethernet: Distributed Packet Switching for Local Computer Networks , 1976 .

[4]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[5]  Bo Cheng,et al.  Improve IEEE 802.11 MAC Performance with Collision Sequential Resolution Algorithm , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[6]  D. Malone,et al.  Modeling the 802.11 Distributed Coordination Function in Nonsaturated Heterogeneous Conditions , 2007, IEEE/ACM Transactions on Networking.

[7]  Thierry Turletti,et al.  Modeling and analysis of slow CW decrease IEEE 802.11 WLAN , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[8]  Periklis Chatzimisios,et al.  Influence of channel BER on IEEE 802.11 DCF , 2003 .

[9]  Eldad Perahia,et al.  Next Generation Wireless LANs: Preface , 2008 .

[10]  Marco Conti,et al.  Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit , 2000, TNET.

[11]  Seokjoo Shin,et al.  COMIC: Intelligent Contention Window Control for Distributed Medium Access , 2010, IEEE Communications Letters.

[12]  Jing Deng,et al.  On optimizing the backoff interval for random access schemes , 2003, IEEE Trans. Commun..

[13]  Nurul I. Sarkar Impact of Traffic Arrival Distributions on an 802.11 Ad Hoc Network: Modeling and Performance Study , 2012 .

[14]  Yuguang Fang,et al.  Fast collision resolution (FCR) MAC algorithm for wireless local area networks , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[15]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

[16]  Yang Xiao,et al.  Refinements on IEEE 802.11 Distributed Coordination Function Modeling Approaches , 2010, IEEE Transactions on Vehicular Technology.

[17]  Lei Guo,et al.  A new adaptive MAC protocol with QoS support based on IEEE 802.11 in ad hoc networks , 2012, Comput. Electr. Eng..