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Performance analysis of the IEEE 802.11 DCF in the presence of the hidden stations
Authors:Fu-Yi Hung  Ivan Marsic
Affiliation:1. Helsinki Institute for Information Technology HIIT, Aalto University, Espoo, Finland;2. Department of Computer Science and Engineering, Aalto University, Espoo, Finland;1. Department of Mathematical Sciences and Telecommunication Engineering Program, KAIST, Daejeon, Republic of Korea;2. Department of Electrical Engineering, University of Washington, Seattle, USA;1. OmniAccess S.L., Parque Tecnológico ParcBit, Spain;2. Mobile Communications Group, University of the Balearic Islands (UIB), Spain;1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;2. Université de Toulouse, INPT-ENSEEIHT/IRIT, Toulouse, France;3. University of Chinese Academy of Sciences, Beijing, China
Abstract:In this paper, we present an analytical model to evaluate the hidden station effect on the performance of the IEEE 802.11 Distributed Coordination Function (DCF) in both non-saturation and saturation condition. DCF is a random channel-access scheme based on Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) method and the exponential backoff procedure. DCF is widely used and can support both wireless network with an access point and ad hoc wireless network because of its random channel-access method. On the other hand, this method unavoidably suffers the hidden station effect that causes significant performance degradation. As shown in this paper, hidden stations occur frequently in real-world settings, and the performance impact on the 802.11 DCF is a significant concern, but it has not been adequately studied. We study this problem through a spatial–temporal analysis and a Markov chain model. Our model generalizes the existing work on the performance modeling of 802.11 DCF for both non-saturation and saturation conditions. The scenario of no hidden station can be considered as a special case in our model. The performance of our model is evaluated by comparison with ns-2 simulations.
Keywords:
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