Lightweight Acoustic Detection of Logging in Wireless Sensor Networks

In our paper we investigate methods to detect the acoustic signals of logging with the help of lightweight sensors in a wireless sensor network. The main advantage of using such sensors is their small size, low cost, low power consumption, rare and cheap maintenance, and reasonable detection performance. These properties make such acoustic sensors competitive to video based systems in large area surveillance. Besides specifying the hardware platform and the used test databases we detail the signal processing methods for acoustic feature detection and classification and also discuss the performance of single node and multi sensors information fusion.