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Tracking and predicting end-to-end quality in wireless community networks

Author
Millán, P.; Molina, C.; Dimogerontakis, E.; Navarro, L.; Meseguer, R.; Braem, B.; Blondia, C.
Type of activity
Presentation of work at congresses
Name of edition
3rd International Conference on Future Internet of Things and Cloud
Date of publication
2015
Presentation's date
2015-08
Book of congress proceedings
2015 International Conference on Future Internet of Things and Cloud: FiCloud 2015: 2015 International Conference on Open and Big Data: OBD 2015: 24–25 August 2015: Rome, Italy
First page
794
Last page
799
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/FiCloud.2015.96 Open in new window
Project funding
A Community networking Cloud in a box
Community Networks Testbed for the Future Internet
Community networks and clouds
Repository
http://hdl.handle.net/2117/79430 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7300907 Open in new window
Abstract
Community networks are an emergent model with mottos like Community networks are an emergent model with mottos like "a free net for everyone is possible" or "don't buy the network, be the network". Their social impact is measurable, as the community is provided with the right and opportunity of communication. The combination of wired and wireless links in these networks, and the unreliable nature of the wireless medium, poses several challenges to the routing protocol. End-to End quality trackin...
Citation
Millán, P., Molina, C., Dimogerontakis, E., Navarro, L., Meseguer, R., Braem, B., Blondia, C. Tracking and predicting end-to-end quality in wireless community networks. A: International Conference on Future Internet of Things and Cloud. "2015 International Conference on Future Internet of Things and Cloud: FiCloud 2015: 2015 International Conference on Open and Big Data: OBD 2015: 24–25 August 2015: Rome, Italy". Rome: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 794-799.
Keywords
Community networks, End-to-end quality prediction, Time-series analysis
Group of research
CNDS - Computer Networks and Distributed Systems

Participants