Person tracking using Kalman Filter in Wireless Sensor Network

Wireless Sensor Network (WSN) is an emerging technology for person detection and tracking. This paper proposes a scheme for detecting and tracking a person using WSN. In an organization where employees possess unique Radio Frequency Identification (RFID) tags, a WSN node detects the presence of a person using a PIR sensor and the identity of the person is obtained from the RFID tag. The accuracy of tracking a person in a WSN is limited due to the sensor's detection capabilities. Also, the sensor packets may be lost in the wireless medium. Moreover, the location information in the sensor is not accurate indoors. This paper proposes a multi-sensor and Kalman Filter (KF) based tracking scheme in a WSN oblivious to localization errors, errors due to missing events caused by failure of nodes etc. The accuracy of the proposed tracking has been validated for different scenarios.

[1]  Yunhao Liu,et al.  ANDMARC: Indoor Location Sensing Using Active RFID , 2003, PerCom.

[2]  Samuel S. Blackman,et al.  Multiple-Target Tracking with Radar Applications , 1986 .

[3]  V. Vaidehi,et al.  An Efficient Distance Estimation Algorithm for Indoor Sensor Network , 2011 .

[4]  R.V.R. Kumar,et al.  Sensor Networks for Tracking a Moving Object using Kalman Filtering , 2006, 2006 IEEE International Conference on Industrial Technology.

[5]  P. T. V. Bhuvaneswari,et al.  Complex Event Processing for Object Tracking in Wireless Sensor Networks , 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[6]  Sanjay Jha,et al.  Detection and tracking using wireless sensor networks , 2007, SenSys '07.

[7]  Yu-Chee Tseng,et al.  Location Tracking in a Wireless Sensor Network by Mobile Agents and Its Data Fusion Strategies , 2003, Comput. J..

[8]  Yunhao Liu,et al.  LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[9]  S.U. Babu,et al.  Modelling and Simulation of a Sensor Network for Tracking a Moving Object , 2005, 2005 3rd International Conference on Intelligent Sensing and Information Processing.

[10]  A. Olfat,et al.  Enhanced object tracking with received signal strength using Kalman filter in sensor networks , 2008, 2008 International Symposium on Telecommunications.

[11]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.