Log Likelihood Ratio Based Quantizer Design for Target Tracking in Wireless Sensor Networks
K S Balamurugan, Sri Sahithi · Zenodo (CERN European Organization for Nuclear Research) · 2018
In Wireless sensor network (WSN), the estimated target location is measured by sensors at each time of tracking and sends to the fusion centre. Optimizing Sensors is a challenging issue with respects to size, battery powered devices and the resources. Transmission of whole sensor measurements to the fusion center probably carry too much of energy and bandwidth. In such a case, distributed detection or distributed estimation, sensor measurements are initially processed and then quantized form of them are send to the fusion center. In this paper, proposed log likelihood ratio (LLR) based quantizer algorithm, used to reduce the number of sensors transmitting to the FC and obtaining detailed information from those sensors. Information, Energy, power and distance parameters are used to calculate the weight factors for selecting suitable sensors. From the simulation results, the proposed method significantly better than other probabilistic sensor management approaches for target tracking in WSN.