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Real-Time Collaborative Monitoring in Wireless Sensor Networks

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3 Author(s)
V. Berisha ; Arizona State University ; Homin Kwon ; A. Spanias

In recent years, wireless sensor networks (WSN) have shown success in distributed real-time signal processing systems. In collaborative signal processing environments, each sensor is responsible for extracting pertinent information from the surrounding environment and transmitting it to other sensors and/or to the main processing station. Often times, the sensors operate under a number of constraints, such as limited processing power and low bandwidth. In this paper we propose a collaborative signal processing framework that is implemented in an acoustic monitoring scenario. A low-complexity voice activity detector and a gender classifier are implemented on the Crossbow sensor motes. A series of experiments are presented that characterize the performance of the algorithms under varying SNR conditions and in different environments

Published in:

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings  (Volume:3 )

Date of Conference:

14-19 May 2006