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Proceedings Paper

Software structure for broadband wireless sensor network system
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Paper Abstract

Zigbee Sensor Network system has been investigating for monitoring and analyzing the data measured from a lot of sensors because the Zigbee Sensor Network has several advantages of low power consumption, compact size, and multi-node connection. However, it has a disadvantage not to be able to monitor the data measured from sensors at the remote area such as other room that is located at other city. This paper describes the software structure to compensate the defect with combining the Zigbee Sensor Network and wireless LAN technology for remote monitoring of measured sensor data. The software structure has both benefits of Zigbee Sensor Network and the advantage of wireless LAN. The software structure has three main software structures. The first software structure consists of the function in order to acquire the data from sensors and the second software structure is to gather the sensor data through wireless Zigbee and to send the data to Monitoring system by using wireless LAN. The second part consists of Linux packages software based on 2440 CPU (Samsung corp.), which has ARM9 core. The Linux packages include bootloader, device drivers, kernel, and applications, and the applications are TCP/IP server program, the program interfacing with Zigbee RF module, and wireless LAN program. The last part of software structure is to receive the sensor data through TCP/IP client program from Wireless Gate Unit and to display graphically measured data by using MATLAB program; the sensor data is measured on 100Hz sampling rate and the measured data has 10bit data resolution. The wireless data transmission rate per each channel is 1.6kbps.

Paper Details

Date Published: 30 March 2010
PDF: 8 pages
Proc. SPIE 7646, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2010, 76460X (30 March 2010); doi: 10.1117/12.849288
Show Author Affiliations
Hyeokjun Kwon, Univ. of Arkansas (United States)
Sechang Oh, Univ. of Arkansas (United States)
Hargsoon Yoon, Univ. of Arkansas (United States)
Vijay K. Varadan, Univ. of Arkansas (United States)

Published in SPIE Proceedings Vol. 7646:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2010
Vijay K. Varadan, Editor(s)

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