Research On Key Energy Saving Technologies Of Sensing Layer Of Agricultural Internet Of Things

Agriculture is the basic industry of national economy.Agriculturallntemet of things is an inevitable requirement and the realistic choice for our country's development of modem agriculture,of which representatives are green agriculture and intelligent agriculture.It will make a great and profound difference on our country's rural economic development.Agricultural Intermet of things is constituted by perceptual layer,network layer and application ayer.Among them,perceptual layer is the basic step in agricultural Internet of things,whose main function is to supervise agricultural environment to provide decision management and application support for agricultural production.Because the wireless sensing network has the advantages of flexible deployment mode and strong adaptability to environment,it has become an important and main way to realize the Agricultural Internet of things,and it is widely used in agricultural production.Due to the complex environment of agricultural production,there are still many problems in the practical application of wireless sensor network,such as data security,technical standards,wireless network energy consumption,communication protocol and so on.The energy consumption of wireless sensor network control is particularly prominent,how to optimize the network transmission efficiency,reduce network energy consumption,prolong the network lifetime problem has become an urgent need to solve.In this paper,we mainly takes the sensing node in the agricultural wireless sensing network as the research object,and start the research of the related energy saving technology and method.The main research contents are:1?Reduce energy consumption from the perceptual node hardware level.Design and implementation of energy saving perceptual node hardware circuit from the sensor nodes centralized power supply mechanism,wake-up mechanism and the self turn off switching mechanism three aspects,and carries on the experiment test,the result shows that:the energy consumption is lower than the traditional sensing node one times.2?Reduce energy consumption from the data transmission protocol.Based on the characteristics of agricultural perceived data,we compared the typical data transmission protocol,analyzed the energy consumption of the data transmission protocol,and then designed a data transmission protocol for the energy saving.Through the introduction of Havermann encoding string type data transmission protocol based on data compression.In the premise of ensuring the information lossless transmission,it can effectively reduce the amount of data transmission in the network,so as to realize the energy saving effect.Using the measured sample data to evaluate data transfer protocol designed in this paper,the results show that:the overall data compression rate can reach 58%,and the energy saving effect is remarkable.3.Reduce energy consumption data from the strategic level.The main reasons for the high energy consumption of wireless network is the large amount of agricultural environmental data and high redundancy.Through the comparison and analysis of typical data fusion transmission algorithm,this paper summarizes its shortcomings,and proposes a non uniform interval transmission algorithm,which can better solve the problem of energy consumption caused by data redundancy.Experimental results show that compared with the typical algorithms,this algorithm in the data reduction degree increase,can further reduce the data redundancy,Reduce the average transmission number 41%,Achieve the energy saving effect,and prolong the life cycle of the entire network.Based on the above research about key techniques of energy conservation,we build a greenhouse environment monitoring system platform in a modem agricultural park in Suzhou Royal Pavilion,combining with design of convergence gateway device.Through the optimization of the data transmission protocol,Non-uniformly spaced transmission algorithm and energy-saving perceptual node hardware design,we achieve technical improvements in the above three aspects,for better solving the problem of energy consumption of wireless sensor networks eontrol.Test results show that network lifetime can be extended by 1.4 times under the condition of the same amount of energy consumption,eompared with the traditional energy consumption of Wireless-Aware Network control method.