Title :
Sensorless Sensing in Wireless Networks: Implementation and Measurements
Author :
Woyach, Kristen ; Puccinelli, Daniele ; Haenggi, Martin
Author_Institution :
Network Communication and Information Processing Laboratory, Department of Electrical Engineering, University of Notre Dame, kwoyach@nd.edu
Abstract :
Multipath fading and shadowing are usually regarded as negative phenomena hindering proper radio communication. Adopting a completely different stance, this paper illustrates that such phenomena enable information harvesting from received signal strength leading to a number of original applications requiring no conventional sensing hardware. The radio itself, provided that it can measure the strength of the incoming signal, is the only sensor we use; with this sensor-less sensing approach, any wireless network becomes a sensor network. We show that motion of the nodes in the network or motion of bodies external to the network leaves a characteristic footprint on signal strength patterns, which may be exploited for motion detection. We illustrate a technique to extract an estimate of velocity from signal strength, and we leverage on the spatial memory properties of wireless links to present a method for spatial configuration recognition.
Keywords :
Data mining; Electric variables measurement; Fading; Hardware; Intelligent networks; Motion detection; Object detection; Sensor phenomena and characterization; Shadow mapping; Wireless sensor networks;
Conference_Titel :
Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2006 4th International Symposium on
Print_ISBN :
0-7803-9549-2
DOI :
10.1109/WIOPT.2006.1666495