@inproceedings{8ec85418fc6a4b77b74766a5a1d4b779,
title = "Real-time collaborative monitoring in wireless sensor networks",
abstract = "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.",
author = "Visar Berisha and Homin Kwon and Andreas Spanias",
year = "2006",
language = "English (US)",
isbn = "142440469X",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "III1120--III1123",
booktitle = "2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings",
note = "2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 ; Conference date: 14-05-2006 Through 19-05-2006",
}