bloessl2012safic
Abstract
We introduce the Spectrum Analysis Framework for Interferer Classification (SaFIC), a prototyping framework for interferer detection in wireless networks. Robustness has become the major challenge in many application scenarios such as health care and industrial automation. Besides the assessment of the available channel capacity and node mobility, interference among different networks and even network technologies is one of the most critical and challenging problems. SaFIC provides an interface that allows for the implementation of protocol specific detector modules for different sources of interference. Based on a generic interface, the detection modules can schedule individual scan jobs that are served by the framework. Currently, we support TelosB motes running Contiki OS for the scanning of the frequency band. We developed detection models for WiFi and IEEE 802.15.4 to demonstrate the capabilities of the framework.
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BibTeX reference
@inproceedings{bloessl2012safic,
author = {Bloessl, Bastian and Joerer, Stefan and Nordin, Noorsalwati and Sommer, Christoph and Dressler, Falko},
title = {{SaFIC: A Spectrum Analysis Framework for Interferer Classification in the 2.4 GHz Band}},
booktitle = {31st IEEE Conference on Computer Communications (INFOCOM 2012), Demo Session},
address = {Orlando, FL},
issn = {0743-166X},
month = {March},
publisher = {IEEE},
year = {2012},
}
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