@inproceedings{88d095f47d054c07ae4dae38ef97ea09,
title = "Measurement of long-distance Wi-Fi connections: An empirical study",
abstract = "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.",
keywords = "Long-distance Wi-Fi, network measurement, testbed",
author = "Chu, {Ching Hsiang} and Chen, {You Ming} and Huang, {Yu Te} and Roberto Carvalho and Hsu, {Chiun Chieh} and Chen, {Ling Jyh}",
year = "2014",
doi = "10.1109/ICC.2014.6883685",
language = "English",
isbn = "9781479920037",
series = "2014 IEEE International Conference on Communications, ICC 2014",
publisher = "IEEE Computer Society",
pages = "2418--2423",
booktitle = "2014 IEEE International Conference on Communications, ICC 2014",
note = "2014 1st IEEE International Conference on Communications, ICC 2014 ; Conference date: 10-06-2014 Through 14-06-2014",
}