Research And Implementation Of Information Monitoring System For Agriculture Based On Wireless Sensor Network

The major research hotspot in agricultural ernvironment monitoring is the technology of wireless sensor network(WSN).It has become the main way to transform traditional agriculture in China.The operation of wireless sensor network depends on the large amount of wireless sensor nodes whose energy are limited,and because it is inconvenient to change the field nodes,energy problem has become the current main problems restricting the development and extension of agricultural information monitoring system.There are two methods for the power supply of wireless sensor nodes.One way is to use battery to power the nodes.This method is expensive and wastes a lot of human resources.Another method is to use solar energy to power the nodes in real time.This method is greatly dependent on the light intensity.In continuous wet weather,the nodes can't work reliably due to insufficient voltage.In addition,the Low Energy Adaptive Clustering Hierarchy is a kind of low-power Adaptive algorithm,which is widely used in the self-organizing method of wireless sensor networks.But when the uneven distribution of cluster nodes in a monitoring area,most of member nodes need to increase power to send data packets to the cluster nodes,which is a great waste of energy consumption of network.Based on wireless sensor network,the paper researches the optimization of the node power supply mode and transmission routing algorithm,solving the problem of energy limited when it is monitoring the field farmland.The paper design and implement a self-powered agricultural information monitoring system.The main research works are as follows:(1)Based on the application background of wild farmland information monitoring,the paper puts forward the overall design of system,and the paper researches the self-power supply mode of wireless sensor nodes and ad-hoc network method of wireless sensor network.(2)Based on the solar power supply of wireless sensor nodes,the paper designed a dual-battery self-powered mechanism.Comparing the voltage of two lithium batteries,when the light is sufficient,the solar cell module is charged with a low voltage lithium battery.When the light is insufficient,the power supply battery will switch automatically,and the battery with high voltage value will complete the power supply task.Then,the hardware and software design of wireless sensor node is completed based on CC2530 wireless microcontroller.Finally,the paper tests the node's continuity and stability through several experiments.(3)The paper puts optimal routing algorithm MEEMLC-LEACH(More Energy-Efficient Multi-Levels Clustering LEACH).The algorithm adopts the way of three-level clustering,and take energy factor into account when calculating the T(n),to shorten the distance of data transmission between member nodes and cluster nodes,cluster nodes and BS.Then,it's known that the network survival time of the MEEMLC-LEACH algorithm was 1.4 times that of LEACH algorithm when their initial state is the same by calculating the total energy consumption of each frame.Finally,the paper takes simulation experiment for optimization algorithm by MATLAB,and compare the Direct transmission,LEACH and MEEMLC-LEACH routing method through the simulation of the survival number of nodes in the network and the network energy consumption with the increase of frames(time)of change.It can be shown that the algorithm has the superiority of the optimization in balancing energy consumption and prolonging the network lifetime.(4)Based on the C/S framework,the paper set up the agricultural information monitoring platform,designed the functions of monitoring data's storage,push,summary,real-time display,historical data query etc.The system can monitor real-time information such as the concentration of CO2 and PM2.5 in the monitoring area and the functions of node collection by testing,network transmission and upper computer display are in good operation.The system works by self-powered and self-assembled,and it has good continuity.accuracy and stability.Different sensors can be used to realize real-time monitoring of agricultural information.