Title :
Optimal Sensor Selection in Heterogeneous Sensor Networks
Author :
Lazaro, M. ; Artes-Rodriguez, A.
Author_Institution :
Dept. of Signal Theory & Commun., Universidad Carlos III de Madrid, Spain
Abstract :
We consider a large-scale, dense sensor network with two types of binary sensors with different discrimination performance and costs. We want to analyze what is the optimal proportion of both sensors in a target detection problem by assigning a given total cost per measurement. We obtain the hypothesis test, and we obtain the test performance using large deviation bounds. We found that the optimal proportion is "winner takes all" like. The sensor with the best performance/cost ratio is selected.
Keywords :
signal detection; wireless sensor networks; binary sensors; deviation bounds; heterogeneous sensor networks; hypothesis test; large-scale dense sensor network; optimal sensor selection; target detection problem; Cost function; Detectors; Energy consumption; Intelligent networks; Large-scale systems; Object detection; Sensor phenomena and characterization; Testing; Transmitters; Wireless sensor networks; Sensor networks; cost-constrained; large deviations;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366411
