Orthogonal cut algorithm for value-based event localization in sensor networks

We investigate the capability of ad-hoc sensor networks equipped with simple sensor devices to enable a more accurate spatial event localization in order to support smart camera networks. We present a novel algorithm named Orthogonal Cut which is suitable for many different event detection scenarios, especially when large interferences occur. It estimates the spatial position of a detected event by dividing the surveillance space of a sensor network into smaller areas until a threshold criteria is met.