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Time series analysis to predict link quality of wireless community networks

Author
Millán, P.; Molina, C.; Medina, E.; Vega, D.; Meseguer, R.; Braem, B.; Blondia, C.
Type of activity
Journal article
Journal
Computer networks
Date of publication
2015-12-24
Volume
93
First page
342
Last page
358
DOI
https://doi.org/10.1016/j.comnet.2015.07.021 Open in new window
Project funding
Community networks and clouds
Microarchitecture and Compilers for Future Processors III
Repository
http://hdl.handle.net/2117/86430 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S1389128615003412 Open in new window
Abstract
Community networks have emerged under the mottos Community networks have emerged under the mottos "break the strings that are limiting you", "don't buy the network, be the network" or "a free net for everyone is possible". Such networks create a measurable social impact as they provide to the community the right and opportunity of communication. As any other network that mixes wired and wireless links, the routing protocol must face several challenges that arise from the unreliable nature of the...
Citation
Millán, P., Molina, C., Medina, E., Vega, D., Meseguer, R., Braem, B., Blondia, C. Time series analysis to predict link quality of wireless community networks. "Computer networks", 24 Desembre 2015, vol. 93, p. 342-358.
Keywords
Community networks, Link quality prediction, Link quality tracking, Time series analysis
Group of research
CNDS - Computer Networks and Distributed Systems

Participants

  • Millán Marco, Pere  (author)
  • Molina Clemente, Carlos Maria  (author)
  • Medina Medina, Esunly  (author)
  • Vega D'Aurelio, Davide  (author)
  • Meseguer Pallares, Roque  (author)
  • Braem, Bart  (author)
  • Blondia, Chris  (author)