{"title":"Topology inference for CSMA/CA wireless network based on inter frame space","authors":"Shengxiang Li, Guangyi Liu, Ou Li, Siyuan Ding","doi":"10.1109/ICCT.2017.8359681","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel approach called Wntiifs to infer the topology of CSMA/CA wireless network without the need to cooperate in the network or decode the network's messages. The approach divides RF frames observed into session atoms according to an inter frame space threshold, and ensures that a session atom consists only of frames transmitted by two nodes. Then, it extracts the link in each atom in different observation time window. Finally, it merges the links in different time window to reconstruct the complete network topology. Experimental results demonstrate that, compared with the existing wireless network topology inference algorithms, Wntiifs is of higher topology inference accuracy.","PeriodicalId":199874,"journal":{"name":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 17th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2017.8359681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we propose a novel approach called Wntiifs to infer the topology of CSMA/CA wireless network without the need to cooperate in the network or decode the network's messages. The approach divides RF frames observed into session atoms according to an inter frame space threshold, and ensures that a session atom consists only of frames transmitted by two nodes. Then, it extracts the link in each atom in different observation time window. Finally, it merges the links in different time window to reconstruct the complete network topology. Experimental results demonstrate that, compared with the existing wireless network topology inference algorithms, Wntiifs is of higher topology inference accuracy.