Wireless sensors, sensing wireless (WSSW) for the characterization of multipath fading

Authors:
Steve Distasi;Rich Ketcham;Jeff Frolik;Jake Galbreath
Affiliations:
University of Vermont, Burlington, VT;University of Vermont, Burlington, VT;University of Vermont, Burlington, VT;MicroStrain, Inc., Williston, VT
Venue:
Proceedings of the 6th international conference on Information processing in sensor networks
Year:
2007

Citing 2
Cited 0

Channel allocation strategies for wireless sensors statically deployed in multipath environments

Proceedings of the 5th international conference on Information processing in sensor networks
A Case for Considering Hyper-Rayleigh Fading Channels

IEEE Transactions on Wireless Communications

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Abstract

This work demonstrates the use of wireless sensor nodes to monitor time- and frequency-selective channel fading in the 2.4 GHz ISM band. Four distinct channel conditions are considered: (1) a static node experiencing little to no fade, (2) a static node experiencing severe, frequency-selective fading, (3) a static node, in a dynamic environment and (4) a moving node in a highly multipath environment. The demonstration employs four MicroStrain V-link nodes running custom firmware. The fading measurement methodology utilizes the sensor nodes to provide the functionality of a distributed scalar, network analyzer; a technique referred to as wireless sensors, sensing wireless (WSSW). Fading measurements and characterization are presented through a GUI interface.