A directionality based location discovery scheme for wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a new regime for time synchronization
ACM SIGCOMM Computer Communication Review
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Radio interferometric geolocation
Proceedings of the 3rd international conference on Embedded networked sensor systems
The Lighthouse Location System for Smart Dust
Proceedings of the 1st international conference on Mobile systems, applications and services
Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68)
Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68)
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Combining Positioning and Communication Using UWB Transceivers
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
REALWSN'10 Proceedings of the 4th international conference on Real-world wireless sensor networks
A two-way time of flight ranging scheme for wireless sensor networks
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
EWSN'13 Proceedings of the 10th European conference on Wireless Sensor Networks
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Two-way time of flight (ToF) ranging is one of the most interesting approaches for localization in wireless sensor networking since previous ToF ranging approaches using commercial off-the-shelf (COTS) devices have achieved good accuracy. The COTS-based approaches were, however, evaluated only in line-of-sight conditions. In this paper, we extend ToF ranging using multiple IEEE 802.15.4 channels. Our results demonstrate that with multiple channels we can achieve good accuracy even in non line-of-sight conditions. Furthermore, our measurements suggest that the variance between different channels serves as a good estimate of the accuracy of the measurements, which can be valuable information for applications that require localization information.