Low-cost interferer detection and classification using TelosB sensor motes

Authors:
Bastian Bloessl;Stefan Joerer;Fabian Mauroner;Falko Dressler
Affiliations:
Computer and Communication Systems, Institute of Computer Science, University of Innsbruck, Austria;Computer and Communication Systems, Institute of Computer Science, University of Innsbruck, Austria;Computer and Communication Systems, Institute of Computer Science, University of Innsbruck, Austria;Computer and Communication Systems, Institute of Computer Science, University of Innsbruck, Austria
Venue:
ACM SIGMOBILE Mobile Computing and Communications Review
Year:
2013

Citing 2
Cited 0

Mutual interference analysis of IEEE 802.15.4 and IEEE 802.11b

Computer Networks: The International Journal of Computer and Telecommunications Networking
Interferer classification, channel selection and transmission adaptation for wireless sensor networks

ICC'09 Proceedings of the 2009 IEEE international conference on Communications

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Abstract

Inter-protocol interference is one of the most critical issues in wireless communication. For example, this becomes extremely problematic in environments where robustness and realtime communication need to be considered, e.g., in industrial automation or health care applications. Recently, possible approaches for interference mitigation have been described in the literature assuming that the interferer is known in advance. We contribute to this line of research with a framework for interferer detection and classification. Essentially, we use a simple IEEE 802.15.4 transceiver as for example used on the TelosB sensor motes to scan the 2.4 GHz ISM band. This band is used by different technologies including Bluetooth, WiFi, and cordless phones. The key challenge is the accurate timing of the scanning of the frequency band. The presented framework supports flexible descriptions of such scan jobs allowing to adapt to the detectors requirements, depending on the interfering protocols.