Name
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. The key issue that drives this study is traffic forecasting at each wireless access point (AP) in an hourly timescale. We conducted an extensive measurement study of wireless users on a major university campus using the IEEE802.11 wireless infrastructure. We propose several traffic models that take into account the periodicity and recent traffic history for each AP and present a time-series forecasting methodology. Finally, we build and evaluate these forecasting algorithms and discuss our findings |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/PIMRC.2005.1651684 | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications |
Keywords | Field | DocType |
telecommunication traffic,time series,wireless LAN,IEEE802.11 infrastructure,anomaly detection,campus-wide wireless network,coverage planning,network monitoring,resource reservation,short-term traffic forecasting,time-series forecasting methodology,traffic load,wireless access point | Reservation,Anomaly detection,Wireless network,Wireless,Traffic load,Computer science,Computer network,Wireless access point,Network monitoring,Network traffic simulation | Conference |
Volume | ISBN | Citations |
3 | 9783800729098 | 7 |
PageRank | References | Authors |
1.03 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Papadopouli | 1 | 520 | 58.57 |
| Haipeng Shen | 2 | 138 | 14.30 |
| Elias Raftopoulos | 3 | 40 | 4.39 |
| Manolis Ploumidis | 4 | 27 | 4.65 |
| Felix Hernandez-Campus | 5 | 7 | 1.03 |