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无线传感器网络智能红外控制节点的实现
引用本文:田洪强,秦雅娟,郑涛,高德云.无线传感器网络智能红外控制节点的实现[J].计算机应用,2010,30(9):2549-2552.
作者姓名:田洪强  秦雅娟  郑涛  高德云
作者单位:1. 北京交通大学下一代互联网互联设备国家工程实验室2. 北京交通大学3. 北京交通大学电子信息工程学院;北京交通大学下一代互联网设备国家工程实验室
基金项目:国家自然科学基金资助项目,"CNGI"下一代瓦联网业务试商用及设备产业化专项 
摘    要:无线传感器网络(WSN)是一种全新的信息获取和处理技术,其巨大的应用前景受到学术界和工业界越来越广泛的重视。红外控制技术以其通用性强、价格低廉的优点在生活中应用普遍。将无线传感器网络与红外控制技术相结合,设计了一种具有智能红外控制功能的无线传感器网络节点,该节点利用红外功能模块对红外信号学习并智能存储到EEPROM中,然后按需将预先存储的红外编码发送,达到控制红外终端的目的。另外,利用简单网络管理协议(SNMP)服务器可以对节点的红外控制功能实现远程控制。最后,对新设计的传感器节点进行了测试,证明了该方案的可行性。

关 键 词:无线传感器网络  红外信号  智能学习  远程控制  
收稿时间:2010-03-17
修稿时间:2010-05-10

Implementation of intelligent infrared control node in wireless sensor networks
TIAN Hong-qiang,QIN Ya-juan,ZHENG Tao,GAO De-yun.Implementation of intelligent infrared control node in wireless sensor networks[J].journal of Computer Applications,2010,30(9):2549-2552.
Authors:TIAN Hong-qiang  QIN Ya-juan  ZHENG Tao  GAO De-yun
Abstract:Wireless Sensor Network (WSN) is a new technology about acquiring and processing information. More and more researchers and people from industry are engaged in developing it due to the great promise and potential with various applications. Meanwhile, the infrared control technology is widely used in life for its simple, low-cost advantages. In this paper, combining wireless sensor network with infrared control technology, an intelligent infrared control node was designed, which learned the Infrared (IR) signal and stored it to EEPROM with the infrared functional module. And then, this node sent the IR signal to control the infrared terminal with stored infrared codes in EEPROM depending on the requirements. Besides, the server can control the nodes remotely with Simple Network Management Protocol (SNMP). At last, the new sensor node was tested, and the experimental results validate the practicability of the scheme.
Keywords:Wireless Sensor Network (WSN)                                                                                                                        infrared signal                                                                                                                        intelligent learning                                                                                                                        remote control
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