Research On Some Theory And Technology Of Sensor Networks Using In Soil Environment Monitoring

Environmental monitoring of soil and human activities are closely related to agricultural production. For environmental monitoring of soil characteristics, this article was constructed for the soil environment monitoring sensor networks. In this paper, wireless sensor network coverage control, fault diagnosis and intra-node data compression three key technologies in-depth study and exploration, proposed connectivity of sensor networks based on multi-objective control methods associated with coverage, based on rough set decomposition of the sensor network node failures diagnostic methods, and based on lifting wavelet transform and differential coding of sensor networks, distributed data compression method, and these theoretical methods applied to the soil for environmental monitoring wireless sensor networks. Then this design of a soil-based sensor networks for environmental monitoring system, the system consists of soil monitoring nodes, base stations and control centers, able to monitor the area of soil temperature, moisture content and pH value on-line monitoring and analysis, the system dynamic Since the group, low power consumption, time is short, large capacity, high reliability characteristics. The system has its own dynamic, low-power, short delay, large-capacity, high reliability and features. The main work:1. Wireless sensor networks described the basic concept, features, architecture, as well as the development of the key issues facing, and build the soil for environmental monitoring of sensor networks in three areas of key technologies are reviewed.2. Wireless sensor network node covered by the evaluation of network control is an important indicator of performance. Applied to the soil for environmental monitoring sensor network, the existence of faster signal attenuation, sampling uncertainty and high precision monitoring of the characteristics of connectivity based on multi-objective related coverage for ways to improve the coverage of the multi-objective method of correlation is not due to inter-node connectivity and the impact of information exchange between nodes and transmission problems. The simulation results show that connectivity-based multi-objective methods related coverage coverage coverage correlation is superior to multi-objective approach.3. Soil environmental monitoring system, the node fault diagnosis technology to keep abreast of the sensor node network plays an important role in the state. Network nodes as a result of the existence of fault, the entire sensor network to monitor the completeness of the data affected. An incomplete information system on the rough set decomposition method, and this method has been applied to sensor network node fault diagnosis and the results proved the effectiveness of this approach.4. The sensor node is very limited resources, it is difficult to adapt to a large number of data transmission, in order to reduce data communication network, energy consumption, extend the network life cycle, monitoring data of the original network data compression is necessary. Based on Lifting Wavelet Transform and a combination of differential encoding data compression algorithm, that is, first of all, the use of lifting wavelet algorithm and the base station node establish the initial value, and then based on the initial value, before and after the moment of the fluctuations in the value of simple and effective coding, at the same time set the time interval from time to time to update the initial value so as to eliminate the accumulated error. Theoretical analysis and simulation experiments show that this method can effectively eliminate the wireless sensor network communication that exist in data redundancy and improve the efficiency of energy utilization nodes to extend the life of the system.5. On agricultural production in the soil environment monitoring the status quo made a brief, and for monitoring the soil needs, design a sensor network based on the soil of the environmental monitoring system. The system for monitoring soil nodes, base stations and control center, able to monitor the region's soil temperature, moisture content and pH value of the on-line monitoring and analysis. Application shows that the system has a large network capacity, flexible configuration, intuitive user-friendly, low power consumption, environmental impact on the soil of small, low-cost features.The full text of the final summing up, pointing out that further study and future...