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Detecting backoff misbehaviour in IEEE 802.11 EDCA
In this paper, we suggest the use of the chi‐square test for detecting backoff misbehaviour in IEEE 802.11 EDCA networks. A performance evaluation is performed to compare the chi‐square test with two other methods, known in the literature. To perform a suitable comparison, these two methods are exte...
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Published in: | European transactions on telecommunications 2011-01, Vol.22 (1), p.31-34 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this paper, we suggest the use of the chi‐square test for detecting backoff misbehaviour in IEEE 802.11 EDCA networks. A performance evaluation is performed to compare the chi‐square test with two other methods, known in the literature. To perform a suitable comparison, these two methods are extended to support EDCA and the BEB mechanism. We assume a misbehaviour model, which can be easily executed by a selfish user. We show that the chi‐square test outperforms the other methods in terms of the probability of misbehaviour detection and time required to positively identify a misbehaving node. Copyright © 2010 John Wiley & Sons, Ltd.
In this paper, we suggest the use of the chi‐square test for detecting backoff misbehaviour in IEEE 802.11 EDCA networks. A performance evaluation is performed to compare the chi‐square test with two other methods, known in the literature. We show that the chi‐square test outperforms the other methods in terms of the probability of misbehaviour detection and time required to positively identify a misbehaving node. |
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ISSN: | 1124-318X 1541-8251 |
DOI: | 10.1002/ett.1459 |