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Performance analysis of the IEEE 802.11-based wireless networks in the presence of hidden stations
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Performance analysis of the IEEE 802.11-based wireless networks in the presence of hidden stations
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ETD_2011
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051837
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eng
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theses
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Topic
Electrical and Computer Engineering
Subject
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(authority = ETD-LCSH)
Topic
Wireless LANs
Abstract
The IEEE 802.11 is the most widely used standard in WLAN currently. It can support not only a WLAN with an access point but also an ad hoc wireless network. The key for being able to support various wireless networks is the Distribution Coordination Function (DCF) which is one of channel access methods in the IEEE 802.11 Medium Access Control (MAC) protocol. The DCF is a random access method where each station has the right to initiate a transmission without any central coordination. Hence, this method is useable not only in infrastructure network configurations but also in distributed and self-organized wireless networks. However, this random access method unavoidably introduces the hidden station problem that multiple stations simultaneously transmit packets to a common destination resulting in packet collision at the destination. This problem results from that DCF does not support the destination coordinating the traffic inside its transmission range. The hidden station problem is unique to wireless networks and significantly degrades the performance of wireless networks, but this problem has been ignored in previous studies.
We propose our research work that model and analyze the performance of wireless networks including the hidden station effect in access-point and ad hoc type wireless networks. In access-point based wireless networks, we present a modified two-dimensional Markov chain model that characterizes the network performance in the presence of hidden stations. This model generalizes the existing work on IEEE 802.11 DCF performance modeling, and it is validated by comparison with ns-2 simulation. Second, in wireless ad hoc networks, the hidden station effect is different from that in an access-point based wireless network. Furthermore, this effect largely depends on the sender-receiver distance and physical carrier-sensing range. We devise a spatiotemporal analytical model that estimates the number of hidden stations based on the sender-receiver distance and physical carrier-sensing range. In addition, we also use our two-dimensional Markov chain model to evaluate the network performance under the hidden station effect in wireless ad hoc network. This result is in agreement with the result obtained by ns-2 simulation.
We propose our research work that model and analyze the performance of wireless networks including the hidden station effect in access-point and ad hoc type wireless networks. In access-point based wireless networks, we present a modified two-dimensional Markov chain model that characterizes the network performance in the presence of hidden stations. This model generalizes the existing work on IEEE 802.11 DCF performance modeling, and it is validated by comparison with ns-2 simulation. Second, in wireless ad hoc networks, the hidden station effect is different from that in an access-point based wireless network. Furthermore, this effect largely depends on the sender-receiver distance and physical carrier-sensing range. We devise a spatiotemporal analytical model that estimates the number of hidden stations based on the sender-receiver distance and physical carrier-sensing range. In addition, we also use our two-dimensional Markov chain model to evaluate the network performance under the hidden station effect in wireless ad hoc network. This result is in agreement with the result obtained by ns-2 simulation.
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electronic resource
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x, 87 p. : ill.
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Ph.D.
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Includes bibliographical references (p. 84-86)
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by Fu-Yi Hung
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Hung
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Fu-Yi
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1967-
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Fu-Yi Hung
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Ivan
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Ivan Marsic
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Daut
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David
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David Daut
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Dario
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Dario Pompili
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Cheng
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Liang
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Liang Cheng
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Rutgers University
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Graduate School - New Brunswick
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2009
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2009-10
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xx
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Rutgers University Electronic Theses and Dissertations
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Graduate School - New Brunswick Electronic Theses and Dissertations
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doi:10.7282/T32807SP
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ETD doctoral
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The author owns the copyright to this work
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Copyright protected
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Open
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Hung
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Fu-Yi
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Fu-Yi Hung
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Rutgers University. Graduate School - New Brunswick
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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