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

Volume

2

fYear

2004

fDate

17-21 May 2004

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8484-9

Type

conf

DOI

10.1109/ICASSP.2004.1326253

Filename

1326253