节点文献

基于TinyOS的无线传感器网络节点设计与应用研究

Study on Wireless Sensor Networks Node Design and Application Based on TinyOS

【作者】 季必文

【导师】 刘颖;

【作者基本信息】 北京交通大学 , 电路与系统, 2010, 硕士

【摘要】 物联网作为新一代信息技术,在国内外受到了广泛关注。作为物联网研究领域的一个重要分支,无线传感器网络是当今无线通信领域研究热点之一。无线传感器网络广泛应用于军事上兵力和装备监控、农业生态环境监测、环保监测、医疗监护等领域。首先论文分析概括了无线传感器网络技术和室内环境监测系统的研究现状,在此基础上设计了具有节点定位功能的无线传感器网络室内环境监测系统的方案,给出了系统的软硬件设计指标和系统体系结构。其次,在分析比较现有无线传感器网络节点平台的基础上,研究了以超低功耗处理器MSP430F1611、无线通信芯片CC2420和温湿度传感器SHT11为核心的传感器节点的硬件设计和嵌入式操作系统TinyOS(TinyMicro Threading Operating System)下的各模块驱动设计和树路由的软件设计。再次,为实现设计方案中节点定位功能,在自行设计的传感器节点平台基础上,研究了基于接收信号强度(Received Signal Strength Indication, RSSI)节点定位。节点定位功能的研究主要包括基于RSSI的测距和定位算法的仿真实现两方面。最后,利用自行设计的传感器节点,搭建基于树路由的传感器网络,采集传感器节点所在位置的室内环境信息,并通过树路由传递给汇聚节点。汇聚节点通过串口将采集到的环境信息传递到管理终端,实现节点采集信息可视化显示和节点之间的路由状态显示。通过上述实验,验证了方案设计的合理性和有效性。

【Abstract】 As a new generation of information technology, Internet of Things (IOT) attracts widespread attention at home and abroad. As an important branch of IOT, wireless sensor network (WSN) is one of the focus of today’s research on wireless communication. Wireless sensor networks are widely used in military forces and equipment monitoring, agro-ecological environment monitoring, environmental monitoring, medical care and other fields.Firstly, the paper summarizes the research status on wireless sensor network technology and indoor environment monitoring system, designs an indoor environment monitoring system solution with the ability of nodes location and gives the system’s hardware and software design index and system architecture.Secondly, the paper studies the hardware design of sensor nodes based on ultra low-power processor MSP430F1611, wireless communications chip CC2420 and the temperature and humidity sensors SHT11, and the software design of each driving modular and tree routing based on the embedded operating systems TinyOS (TinyMicro Threading Operating System).Again, in order to realize the function of node location, the paper studies the node location based on the received signal strength (Received Signal Strength Indication, RSSI) under the self-designed sensor node platform. The research on the location of node mainly includes RSSI-based ranging and location algorithms simulation.Finally, the paper builds a tree-based routing wireless sensor network using the self-designed sensor nodes, gathers the indoor environmental information of sensor nodes and passes the information to the sink node through the tree routing. Sink node passes the collected environmental information to the host computer through the serial port in order to achieve the display of collected information and the routing status between different nodes. Through the spoken experiment, it verifies the reasonable and effective of the design.

  • 【分类号】TP212.9;TN929.5
  • 【被引频次】4
  • 【下载频次】498
节点文献中: