Research And Implementation Of Wireless Sensor Net Work System Based On TinyOS

In recent years, with the continuous progress of the sensor technology, wireless communication technology, embedded computing technology and distributed processing technology, wireless sensor network with multi function and low power has get rapid development. A growing number of reserchers are committed to the research and application of wireless sensor network. However, the current nodes in the domestic research stage have some shortcomings in practice, such as poor communication performance, weak computing power, low-level way of development. It will be difficult to cope with increasingly complex application requirements.To solve above problems, this thesis from two aspects of hardware and software to solve. On the hardware, this thesis designed a new wireless sensor node plrsatform after the reasonable selection of chips. Using MSP430F5419 A as the platform’s core processing module for improving computing ability. In order to improve the platform’s communication distance, choose AT86RF212 as wireless communication module, which has large transmission power and high receiving sensitivity and 780 MHz band. Combining SHT11, TSL2561 as acquisition module implements a sensitive and reliable data collection. Then, transplant TinyOS, an embedded operating system as the platform’s software architecture, which makes it much easier to develop the node’s application. According to the operating system, transplant the driver code of each hardware module and analyzed the network services and network protocol. On this basis, write the full application of nodes, which realizes the core functions of the system. In addition, using the Python and QT write the PC software which realizes the data display and alarm. Finally, by testing the function of the node’s data acquisition, wireless transmission performance and the network performance in a real environment, which shows that the node platform can actually achieve a sensitive and reliable information acquisition, remote wireless transmission distance and powerful network self-organization and self-healing capability.