Study On Forest Environment Monitoring System Based On Wireless Sensor Networks

Forest is the main part of terrestrial ecosystem, which plays a very important role in global carbon cycle. Forest environment monitoring could illuminate the configuration and function of the forest. Studying the interaction between forest and environment will provide the principle for managing the forest reasonably. On the other hand,scientific computation and evaluation of ecological benefit of forest is important to constitute reasonable environment policy.In this paper we proposed a way using stochastic and grid-based deployment to set up the system in the forest to sense light intensity,humidity and temperature. Using multi-hop forward, all sensor nodes send the packets to the sink. We analyze the data from multi-dimension after translating the data.Based on the light, temperature and humidity data, we drew the distribution map of light, temperature and humidity in the forest. We used linear regression to study the relativity of them and the results depicted that the relativity between temperature and humidity was high wherever it is. Light affected more in the forest than at the edge or out of the forest. It revealed that forest could hold the humidity and lower the temperature.This study measured the soil surface carbon dioxide concentration variation with infrared sensor and wireless sensor in the closed container. After comparing and calibrating the sensory data to the Li-8100 data, we calculated the carbon dioxide flux with sensory data. And then we contrasted to the experiment result of Li-8100. The result showed that the relative error was small. And it would provide a new method to measure the soil surface carbon dioxide flux .At the end,this paper concluded the problems in the application of WSN in forest environment monitoring,expatiated the challenges of WSN in combination with forest ecology,and prospected the future development.