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  • 标题:Application Based Misbehavior Detection in Measuring Interference in WiFi Networks
  • 本地全文:下载
  • 作者:Prashant K. Tighare ; Prof. Hemant Soni ; Prof. Mukesh Saini
  • 期刊名称:International Journal of Electronics, Communication and Soft Computing Science and Engineering
  • 印刷版ISSN:2277-9477
  • 出版年度:2015
  • 卷号:4
  • 期号:3
  • 出版社:IJECSCSE
  • 摘要:In this paper we present a tool to estimate interference between nodes and links in a live wireless network by passive monitoring of wireless traffic without any controlled experiments, injection of probe traffic in the network, or without even accessing the network nodes. It is needed to deploy multiple sniffers to capture traffic traces. These traces are subjected to processing to infer the carrier-sense relationship between network nodes. With an idea about collision probabilities it is possible to deduce the interference relationships. It is also possible to detect selfish carrier-sense behavior. The proposed approach of estimating interference relations is significantly more accurate than simpler heuristics and quite competitive with active measurements and it had been tried to justify it through experimental and simulation results
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