Title :
Optimal Detector Based on Data Fusion for Wireless Sensor Networks
Author :
Chin, Tai-Lin ; Hu, Yu Hen
Author_Institution :
Comput. Sci. & Inf. Eng, Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
This paper investigates target detection problem in wireless sensor networks. Sensors carry out sensing operations and make consensus decisions about the presence or absence of a target or event. Most of previous studies for target detection either assume an unrealistic disk model for making detection decision or provide complicated numerical methods to evaluate detection performance. This paper develops the Uniformly Most Powerful(UMP) detector based on likelihood ratio test and derives simple and elegant test rules for target presence and absence. Moreover, detection performance measured by missing rate is also derived analytically. Simulations are conducted to show the performance of the UMP detector compared to a detector developed previously based on value fusion. The results show that the proposed detector dramatically outperforms the value fusion detector even in vulnerable locations.
Keywords :
object detection; sensor fusion; wireless sensor networks; UMP detector; consensus decision; data fusion; detection decision; detection performance; likelihood ratio test; optimal detector; sensing operation; target detection; uniformly most powerful detector; unrealistic disk model; value fusion detector; wireless sensor network; Detectors; Monitoring; Noise; Object detection; Sensor fusion; Wireless sensor networks;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2011.6134023