15th IEEE International Symposium on Personal, Indoor, Mobile, Radio Communications (PIMRC 2004), Barcelona, İspanya, 5 - 08 Eylül 2004, ss.984-988
The sensing coverage area of surveillance wireless sensor networks, which is determined by applying the Neyman-Pearson detection rule, is considered. Using a graph model for the perimeter, the weakest breach path is found through Dijkstra's shortest path algorithm. The breach probability is a critical parameter for assessing the required number of sensor nodes and the surveillance performance of the network. Analysis indicates that for the Neyman-Pearson detection model, the most significant parameter is the false alarm rate, which is inversely proportional to the breach probability. Furthermore, the width of the field has a significant impact on the breach probability.