HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
A Multi-Radio Unification Protocol for IEEE 802.11 Wireless Networks
BROADNETS '04 Proceedings of the First International Conference on Broadband Networks
Siphon: overload traffic management using multi-radio virtual sinks in sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
ICN '07 Proceedings of the Sixth International Conference on Networking
Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks
International Journal of Sensor Networks
Towards Energy Efficient Design of Multi-radio Platforms for Wireless Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Glia: a practical solution for effective high datarate wifi-arrays
Proceedings of the 15th annual international conference on Mobile computing and networking
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Experimental analysis of interference in dual-radio wireless sensor networks
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Data-aggregation techniques in sensor networks: a survey
IEEE Communications Surveys & Tutorials
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
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Scalability is one of the most important features that future wireless sensor networks (WSNs) should provide, and clustering is widely considered as a viable approach for high scalability. In the cluster-based architecture, the cluster heads play a key role in relaying messages between the sensor nodes and the sink. While the cluster heads are involved in both intra-cluster and inter-cluster communication, the latter typically requires transmission over much longer distance than the former. In this paper, we consider a scenario in which each cluster head is equipped with dual radios: IEEE 802.15.4 and IEEE 802.11 for intra-cluster and inter-cluster communication, respectively. IEEE 802.11 links between the cluster heads and the sink provide a high capacity backbone for large-scale WSNs. IEEE 802.15.4 and IEEE 802.11 share a lot of similarities including CSMA/CA MAC. Their operating spectrum also overlaps at the 2.4 GHz ISM band, and this may cause interference. We first experimentally measure how severe the interference can be, when two radios are concurrently used in a WSN. We, then, propose an interference mitigation solution which relies on adaptive aggregation of packets and adaptive transmission scheduling. Through prototyping and experimental evaluation, we show that the proposed scheme significantly reduces the interferences between the two types of radios.