Robust in-situ vehicle detection algorithm with acoustic transition bandpass filter

In limited energy of wireless sensor networks, energy-efficiency is an important issue related to computation complexity and communication frequency. This paper proposes algorithm for vehicle detection using low complexity transition filter based on hardware and software acoustic signal processing. Performance results of the proposed algorithm are evaluated using developed sensor nodes. The proposed algorithm presents the energy consumption as well as analysis a communication frequency of the algorithm. The results of these analyses demonstrate that VoM based in-situ processing holds the potential to meet the needs of future advanced surveillance system in a scalable fashion.