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- Publisher Website: 10.1109/NGI.2006.1678229
- Scopus: eid_2-s2.0-34250173478
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Conference Paper: Evaluation of short-term traffic forecasting algorithms in wireless networks
Title | Evaluation of short-term traffic forecasting algorithms in wireless networks |
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Authors | |
Issue Date | 2006 |
Citation | 2006 2nd Conference on Next Generation Internet Design and Engineering, NGI 2006, 2006, p. 102-109 How to Cite? |
Abstract | Our goal is to characterize the traffic load in an IEEE802.11 infrastructure. This can be beneficial in many domains, including coverage planning, resource reservation, network monitoring for anomaly detection, and producing more accurate simulation models. We conducted an extensive measurement study of wireless users on a major university campus using the IEEE802.11 wireless infrastructure. This paper proposes and evaluates several traffic forecasting algorithms based on various traffic models that employ the periodicity, recent traffic history, and flow-related information. Finally, it discusses the impact of time-scale and history on the prediction accuracy. © 2006 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/219540 |
DC Field | Value | Language |
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dc.contributor.author | Papadopouli, Maria | - |
dc.contributor.author | Raftopoulos, Elias | - |
dc.contributor.author | Shen, Haipeng | - |
dc.date.accessioned | 2015-09-23T02:57:20Z | - |
dc.date.available | 2015-09-23T02:57:20Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | 2006 2nd Conference on Next Generation Internet Design and Engineering, NGI 2006, 2006, p. 102-109 | - |
dc.identifier.uri | http://hdl.handle.net/10722/219540 | - |
dc.description.abstract | Our goal is to characterize the traffic load in an IEEE802.11 infrastructure. This can be beneficial in many domains, including coverage planning, resource reservation, network monitoring for anomaly detection, and producing more accurate simulation models. We conducted an extensive measurement study of wireless users on a major university campus using the IEEE802.11 wireless infrastructure. This paper proposes and evaluates several traffic forecasting algorithms based on various traffic models that employ the periodicity, recent traffic history, and flow-related information. Finally, it discusses the impact of time-scale and history on the prediction accuracy. © 2006 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | 2006 2nd Conference on Next Generation Internet Design and Engineering, NGI 2006 | - |
dc.title | Evaluation of short-term traffic forecasting algorithms in wireless networks | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/NGI.2006.1678229 | - |
dc.identifier.scopus | eid_2-s2.0-34250173478 | - |
dc.identifier.spage | 102 | - |
dc.identifier.epage | 109 | - |