Optimizing Sensor Networks in the Energy-Latency-Density Design Space
IEEE Transactions on Mobile Computing
Mutual interference analysis of IEEE 802.15.4 and IEEE 802.11b
Computer Networks: The International Journal of Computer and Telecommunications Networking
Experimental Study of the Impact of WLAN Interference on IEEE 802.15.4 Body Area Networks
EWSN '09 Proceedings of the 6th European Conference on Wireless Sensor Networks
A survey on MAC protocols for cognitive radio networks
Ad Hoc Networks
TinyOS Programming
A Dynamic Multi-radio Multi-channel MAC Protocol for Wireless Sensor Networks
ICCSN '10 Proceedings of the 2010 Second International Conference on Communication Software and Networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Multi-radio medium access control protocol for wireless sensor networks
International Journal of Sensor Networks
ZiFi: wireless LAN discovery via ZigBee interference signatures
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Channel selection in spectrum agile and cognitive MAC protocols for wireless sensor networks
Proceedings of the 8th ACM international workshop on Mobility management and wireless access
Surviving wi-fi interference in low power ZigBee networks
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Beyond co-existence: Exploiting WiFi white space for Zigbee performance assurance
ICNP '10 Proceedings of the The 18th IEEE International Conference on Network Protocols
Low-overhead dynamic multi-channel MAC for wireless sensor networks
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Making sensornet MAC protocols robust against interference
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
A survey of spectrum sensing algorithms for cognitive radio applications
IEEE Communications Surveys & Tutorials
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One of the key challenges for the deployment of IEEE 802.15.4 based networks is the interference from more powerful IEEE 802.11 based Wi-Fi networks operating in the same 2.4 GHz ISM frequency band. In order to avoid interference and ensure reliable communication, IEEE 802.15.4 networks are first required to identify potentially interfering channels. In this context, we have designed WiSpot, which uses pair-wise synchronized channel sensing algorithm on a platform with two IEEE 802.15.4 compliant radios. It is able to detect IEEE 802.11b/g signal signatures with ca. 96% accuracy within a maximum required duration of 310 ms. Our experiments confirm its reliable operation within a range of 25m indoors. WiSpot is also able to detect multiple collocated Wi-Fi transmitters. The algorithm is robust against the IEEE 802.11b/g signal leakages on commercially available NICs and has been tested on five different Wi-Fi transmitters from different vendors. Performance comparison against other state-of-the-art solutions indicates that WiSpot is superior in terms of the detection accuracy and the required detection duration.