Decision fusion in a wireless sensor network with a random number of sensors

Author

Niu, Ruixin ; Varshney, Pramod K.

Author_Institution

Dept. of EECS, Syracuse Univ., NY, USA

Volume

4

fYear

2005

fDate

18-23 March 2005

Abstract

For a wireless sensor network (WSN) with a random number of sensors, a decision fusion rule that uses the total number of detections reported by local sensors for hypothesis testing, is proposed. It is assumed that the number of sensors follows a Poisson distribution and the locations of sensors follow a uniform distribution within the region of interest (ROI). Both analytical and simulation results for the system level detection performance are provided. This fusion rule can achieve a very good system level detection performance even at very low signal to noise ratio (SNR), if the average number of sensors is sufficiently large. In addition, the problem of choosing an optimum local sensor level threshold is investigated for various system parameters.

Keywords

Poisson distribution; decision theory; optimisation; sensor fusion; wireless sensor networks; Poisson distribution; SNR; decision fusion rule; hypothesis testing; optimum local sensor level threshold; random sensor number; region of interest; signal to noise ratio; system level detection performance; uniform distribution; wireless sensor network; Analytical models; Intelligent networks; Performance analysis; Random variables; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal to noise ratio; Testing; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1416145

Filename

1416145