Abstract: Sensor placement is a key issue in target detection, placing smaller sensors to achieve high detection accuracy which presented as a specific high detection probability and a low false alarm rate is very important. Data fusion based collaboration between sensors can boost the level of accuracy in general. In this paper, the accuracy model and the relationship between the fusion radius and density of sensors were analyzed; a quality-threshold clustering algorithm was employed to organize the surveillance locations into placement units,place sensors in them from the intensive to sparse one. Simulation results show that this placement algorithm can significantly reduce the total number of sensors with guaranteed accuracy.

Key words: Wireless sensor networks,Sensor placement,Target detection,Data fusion