Measurement of long-distance Wi-Fi connections: An empirical study

Ching Hsiang Chu, You Ming Chen, Yu Te Huang, Roberto Carvalho, Chiun Chieh Hsu, Ling Jyh Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
PublisherIEEE Computer Society
Pages2418-2423
Number of pages6
ISBN (Print)9781479920037
DOIs
Publication statusPublished - 2014
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia
Duration: 2014 Jun 102014 Jun 14

Publication series

Name2014 IEEE International Conference on Communications, ICC 2014

Other

Other2014 1st IEEE International Conference on Communications, ICC 2014
Country/TerritoryAustralia
CitySydney, NSW
Period2014/06/102014/06/14

Keywords

  • Long-distance Wi-Fi
  • network measurement
  • testbed

ASJC Scopus subject areas

  • Computer Networks and Communications

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