{"title":"802.11无线网络中的帧流量特性","authors":"Xiaohu Ge, Yang Yang","doi":"10.1109/MSN.2008.22","DOIUrl":null,"url":null,"abstract":"In this paper, we analyze a real 802.11 wireless network frame traffic trace, collected from the ACM SIGCOMM 2004 Conference, by calculating its autocorrelation function and Hurst exponents at different time scales. We find this frame traffic trace has second-order self-similar characteristic. This in-depth knowledge of 802.11 wireless network frame traffic can effectively improve the efficiency and performance of network planning, resource management and MAC-layer algorithms.","PeriodicalId":135604,"journal":{"name":"2008 The 4th International Conference on Mobile Ad-hoc and Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Characteristics of Frame Traffic in 802.11 Wireless Networks\",\"authors\":\"Xiaohu Ge, Yang Yang\",\"doi\":\"10.1109/MSN.2008.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we analyze a real 802.11 wireless network frame traffic trace, collected from the ACM SIGCOMM 2004 Conference, by calculating its autocorrelation function and Hurst exponents at different time scales. We find this frame traffic trace has second-order self-similar characteristic. This in-depth knowledge of 802.11 wireless network frame traffic can effectively improve the efficiency and performance of network planning, resource management and MAC-layer algorithms.\",\"PeriodicalId\":135604,\"journal\":{\"name\":\"2008 The 4th International Conference on Mobile Ad-hoc and Sensor Networks\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 The 4th International Conference on Mobile Ad-hoc and Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSN.2008.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 The 4th International Conference on Mobile Ad-hoc and Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSN.2008.22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characteristics of Frame Traffic in 802.11 Wireless Networks
In this paper, we analyze a real 802.11 wireless network frame traffic trace, collected from the ACM SIGCOMM 2004 Conference, by calculating its autocorrelation function and Hurst exponents at different time scales. We find this frame traffic trace has second-order self-similar characteristic. This in-depth knowledge of 802.11 wireless network frame traffic can effectively improve the efficiency and performance of network planning, resource management and MAC-layer algorithms.
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