DocumentCode :
3161665
Title :
Design of multi-interface Wi-Fi node for Sensor Network
Author :
Chen, Wu ; Chang, GuanYu ; Hong, Liang
Author_Institution :
Dept. of Autom., Northwestern Polytech. Univ. (NWPU), Xian, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
3902
Lastpage :
3905
Abstract :
In this paper, a multi-interface Wi-Fi node for Wireless Sensor Network (WSN) is constructed. Wi-Fi is connected through SPI (Serial Peripheral Interface Bus) to form the relatively energy saving wireless transmission. Along with other interfaces, the multi-interface function requirements are satisfied. Firstly, the overall module design framework is introduced, followed by the hardware and software designs respectively. This project focuses on the node expansibility, taking TQ2440 as the base hardware platform, which is rich in interfaces with reserved extensive area. On the other hand, eCos is adopted to provide the real-time performance. After the drivers´ implementation on eCos, which contain serial, flash, Ethernet and Wi-Fi, OLSR route protocol is ported to eCos as system route used in the data transmission course. Ultimately, nodes are deployed in AdHoc mode network for tests, which prove that the wireless data acquisition and transmission are available for the node construction. Meanwhile, the AdHoc mode can enhance the robustness of the network, reducing the network failure due to the router crashing in the central control network. It is believed that the node design realizes a prototype which can be used in most of the remote monitoring scene of WSNs.
Keywords :
peripheral interfaces; wireless LAN; wireless sensor networks; SPI; TQ2440; WSN; adhoc mode network; eCos; energy saving wireless transmission; multi-interface Wi-Fi node; serial peripheral interface bus; wireless data acquisition; wireless sensor network; Hardware; IEEE 802.11 Standards; Monitoring; Real time systems; Wireless communication; Wireless sensor networks; Zigbee; Mutil-interface; OLSR; WSN; Wi-Fi; eCos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6009962
Filename :
6009962
Link To Document :
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