A low-complexity algorithm for intrusion detection in a PIR-based Wireless Sensor Network
Paper in proceedings, 2009

We present a low-complexity algorithm for intrusion detection in the presence of clutter arising from wind-blown vegetation, using passive infra-red (PIR) sensors in a wireless sensor network (WSN). The algorithm is based on a combination of Haar transform (HT) and support-vector-machine (SVM) based training and was field tested in a network setting comprising of 15-20 sensing nodes. Also contained in this paper is a closed-form expression for the signal generated by an intruder moving at a constant velocity. It is shown how this expression can be exploited to determine the direction of motion information and the velocity of the intruder from the signals of three well-positioned sensors.


Abu Sajana Rahmathullah

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Ramanathan Subramanian

P. Vijay Kumar

Syam Krishnan

Bharadwaj Amrutur

Jeena Sebastian

Malati Hegde

S. V. R. Anand

Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009, Melbourne, Australia

337 - 342

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

Embedded Systems

Signal Processing



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