Title :
Signature Maximization in Designing Wireless Binary Pyroelectric Sensors
Author :
Peng, Miao ; Xiao, Yang
Author_Institution :
Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
Abstract :
This paper explores the segmentation of a monitoring space generated by binary pyroelectric sensors and reference structure. Each segment in the monitoring space can be identified by a state of a family of binary sensors, called a signature. In this paper, we show that the maximum number of signatures in a sensor network with n binary sensors is 2n and that it can be achieved by n modulators under a defined procedure and one assumption. Furthermore, we prove that the maximum number of signatures can be achieved in a sensor network with n binary sensors without the constraint of the number of modulators. Finally, we explore the signature combination for several simple cases.
Keywords :
monitoring; pyroelectric devices; wireless sensor networks; monitoring space; signature maximization; wireless binary pyroelectric sensors; Modulation; Monitoring; Optical sensors; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2010.5683715