Title :
Distributed edge sensor detection with one- and two-level decisions
Author :
Liao, Pei-Kai ; Chang, Min-Kuan ; Kuo, C. C Jay
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
A statistical approach to distributed edge sensor detection is proposed for wireless sensor networks. Edge sensor detection is a technique to decide whether a target sensor is an edge sensor and is based on data from its neighboring sensors. It is desirable that the computational complexity be low and the amount of data transferred among sensors be small. With some reasonable assumptions and the maximal likelihood technique, we propose both one-level and two-level decision methods to fulfil the above two constraints.
Keywords :
computational complexity; decision theory; edge detection; signal processing; statistical analysis; wireless sensor networks; computational complexity; distributed edge sensor detection; edge detection algorithms; maximal likelihood technique; one-level decision; statistical approach; two-level decision; wireless sensor networks; Computational complexity; Image edge detection; Image sensors; Military computing; Monitoring; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Surveillance; Wireless sensor networks;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326253
