DocumentCode
3020540
Title
Distributed asset tracking using wireless sensor network
Author
Zhuang, L.Q. ; Liu, W. ; Zhang, J.B. ; Zhang, D.H. ; Kamajaya, I.
Author_Institution
Singapore Inst. of Manuf. Technol, Singapore
fYear
2008
fDate
15-18 Sept. 2008
Firstpage
1165
Lastpage
1168
Abstract
The wireless sensor network (WSN) has provided new paradigm for factory automation applications such as asset tracking, machinery condition monitoring and distributed equipment control. This paper will show a design framework for industrial asset tracking application using WSN. The framework will use some optimization decomposition approach to address the research challenge to keep minimal energy consumption of sensor nodes while maintaining estimation quality. The demo applications based on the framework in a work-in-progress project will show the advantage of building wireless control and monitoring applications using WSN. The paper will also discuss energy consumption performance using different network stacks such as IEEE 802.15.4, ZigBee and JenNet based on Jennic product modules.
Keywords
condition monitoring; distributed control; energy consumption; factory automation; machinery; optimisation; tracking; wireless sensor networks; IEEE 802.15.4; JenNet; Jennic product modules; ZigBee; distributed asset tracking; distributed equipment control; energy consumption performance; factory automation; industrial asset tracking application; machinery condition monitoring; optimization decomposition approach; sensor nodes; wireless sensor network; work-in-progress project; Automatic control; Buildings; Communication system control; Distributed control; Energy consumption; Machinery; Manufacturing automation; Network topology; Wireless sensor networks; ZigBee;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 2008. ETFA 2008. IEEE International Conference on
Conference_Location
Hamburg
Print_ISBN
978-1-4244-1505-2
Electronic_ISBN
978-1-4244-1506-9
Type
conf
DOI
10.1109/ETFA.2008.4638546
Filename
4638546
Link To Document