Research Of Wireless Sensor Networks And Data Fusion Algorithm Based On Flowers And Plants Base Environment Monitoring System

Wireless Sensor Networks (WSN) is a synthesis technology which refers a lot of knowledges. It has been a very important method of introducing WSN to environment monitoring system for real-time control. And it is a key point that how to meet the requirements in the basis of maximizing the use of limited resources.And routing protocols and data fusion are data-centric modes, which are just targeted for reducing the amount of data transmission and the node energy consumption.The thesis regarded flower base as to research background. Routing protocols and data fusion method has been studied, and improved LEACH-CM protocol based on LEACH-C protocol has been proposed. LEACH-CM algorithm through the comparison of the energy options forms the best multihop path for cluster head node to the sink node. Then, NS2,a industry-recognized network simulation platform, is used for the simulation analysis to the algorithm, and the results confirmed that, compared with LEACH-C protocol, some aspects of the algorithm such as network energy consumption, node death speed and the amount of data received by the base station have been improved.On the basis of the above LEACH-CM algorithm, this paper further puts forward the adaptive weighted algorithm based on clumping routing protocol, which combines the class hierarchy structure of the routing protocol with the class hierarchy structure of weighting algorithm for data processing within the network. At last, the algorithm theory and MATLAB simulation analysis results confirmed that compared with the traditional direct transmission and the average method, the algorithm has strong robustness and fault tolerance, while reducing node energy consumption, extending the network life expectancy.In a word, the results of this research can offer basis of practical application for Flowers and Plants Base Environment Monitoring System based on WSN, and they provide a new method to improve the automation and information intelligence of cultivating flowers.