查看文章

Wireless sensor networks are widely applicable in surveillance applications for intruder detection. Many research articles in the literature have focused on to generate an inference about the intruder detection and evaluated this in terms of detection probability and false alarm rate. In this paper, we have solved the problem of passive mobile intruder detection using two modalities i.e. acoustic signal model and sensing probability model. A three-level hierarchy is proposed to generate an inference about the presence of a mobile intruder. At base level the deployed sensor nodes are grouped together using k-mean clustering. For both modalities the distance between the sensor nodes and intruder is computed. At cluster head, the received signal strengths or sensing probabilities reported by the sensor nodes are employed for binary hypothesis testing. The cluster heads transmit their decisions to the fusion center for …