Abstract | ||
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Long-distance Wi-Fi technology has shown promise in several network applications that cannot utilize conventional technologies effectively. Although the network performance of Wi-Fi technology is affected by a number of environmental factors, there is a dearth of long-term, continuous, and systematic studies on the correlations between those factors and the technology's performance. In this study, we deployed a long-distance Wi-Fi testbed on our campus and conducted a one-year experiment. Comprehensive data analysis of the measurement results shows that rainfall is the major weather attribute that affects the network performance of long-distance Wi-Fi links. In addition, the performance is highly correlated to human activities in the immediate vicinity. The results also demonstrate it is possible to infer people's daily routines on campus by exploiting the long-term measurement data. |
Year | DOI | Venue |
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2014 | 10.1109/ICC.2014.6883685 | ICC |
Keywords | Field | DocType |
network measurement,network performance,long-distance wi-fi,long-distance wi-fi connections,data analysis,testbed,long-distance wi-fi links,environmental factors,long-distance wi-fi technology,wireless lan,temperature measurement,wireless communication,humidity,wireless sensor networks | Network measurement,Computer science,Testbed,Computer network,Real-time computing,Wireless lan,Empirical research,Network performance | Conference |
ISSN | Citations | PageRank |
1550-3607 | 1 | 0.36 |
References | Authors | |
13 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ching-Hsiang Chu | 1 | 1 | 0.36 |
You-Ming Chen | 2 | 1 | 0.36 |
Yu-Te Huang | 3 | 1 | 0.70 |
Roberto Carvalho | 4 | 2 | 1.07 |
Chiun-Chieh Hsu | 5 | 1 | 0.70 |
Ling-Jyh Chen | 6 | 759 | 78.81 |