CrossZig: Combating Cross-Technology Interference in Low-Power Wireless Networks

Abstract : —Low-power wireless devices suffer notoriously from Cross-Technology Interference (CTI). To enable coexistence , researchers have proposed a variety of interference mitigation strategies. Existing solutions, however, are designed to work with the limitations of currently available radio chips. In this paper, we investigate how to exploit physical layer properties of 802.15.4 signals to better address CTI. We present CrossZig, a cross-layer solution that takes advantage of physical layer information and processing to improve low-power communication under CTI. To this end, CrossZig utilizes physical layer information to detect presence of CTI in a corrupted packet and to apply an adaptive packet recovery which incorporates a novel cross-layer based packet merging and an adaptive FEC coding. We implement a prototype of CrossZig for the low-power IEEE 802.15.4 in a software-defined radio platform. We show the adaptability and the performance gain of CrossZig through experimental evaluation considering both micro-benchmarking and system performance under various interference patterns. Our results demonstrate that CrossZig can achieve a high accuracy in error localization (94.3% accuracy) and interference type identification (less than 5% error rate for SINR ranges below 3 dB). Moreover, our system shows consistent performance improvements under interference from various interfering technologies.
Type de document :
Communication dans un congrès
International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN 2016), Apr 2016, Vienna, Austria. 2016, 〈10.1109/IPSN.2016.7460663〉
Liste complète des métadonnées

Littérature citée [35 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01317464
Contributeur : Simon Duquennoy <>
Soumis le : mercredi 18 mai 2016 - 13:33:37
Dernière modification le : jeudi 19 mai 2016 - 01:16:30
Document(s) archivé(s) le : jeudi 17 novembre 2016 - 10:32:27

Fichier

hanwar_IPSN16_CrossZig.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Anwar Hithnawi, Su Li, Hossein Shafagh, James Gross, Simon Duquennoy. CrossZig: Combating Cross-Technology Interference in Low-Power Wireless Networks. International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN 2016), Apr 2016, Vienna, Austria. 2016, 〈10.1109/IPSN.2016.7460663〉. 〈hal-01317464〉

Partager

Métriques

Consultations de la notice

148

Téléchargements de fichiers

108