Wireless Sensor Network for monitoring, diagnosis and supervision

In this paper, we present a Wireless Sensor Network (WSN) application to avoid obstacles and vehicle accidents. The system is composed of sensors set, a managing unit, a wireless communication card and a monitoring platform. A microcontroller board collects data from sensors. The collected data are transmitted wirelessly to the monitoring unit for data storage, processing and adjusting. The main goal is to integrate robust observers and decision to build a fully autonomous vehicle, build intelligent driver assistances and embedded diagnosis system. First, we present three WSN technologies which provide an efficient solution for our needs. Then we develop an android and Macintosh smart applications for monitoring and supervision. Further the realization and implementing of wireless sensor network technology are also detailed. Finally we test an obstacle avoidance algorithm for mobile robot, we plot data acquisition results.