Research On Information Fusion Technology Of Wireless Sensor Networks Based On SOM

Wireless Sensor Networks (WSN) is integrated by the sensor technology, embedded computing technology, wireless communicating technology and distributed information processing technology. It is a novel calculation pattern which will produce the significant effect on 21 centuries human being life-style after Internet. Internet changes the interpersonal mode of communication and intercourse, but WSN fuses the logical information world and physics world, and then will change the interacting between human and nature.Self-Organizing Feature Map (SOM) is a competition artificial neural network (ANN) model. Neural networks expert Kohonen brought forward it first in Finland Helsinki in 1982, and it also be called the Kohonen network. Essentially, it makes environment information form a self-organizing concept in the human brain. SOM is a type of ANN with clustering function, and it provides a new idea for us to evaluate the state.The information fusion gets information which comes from many sensor nodes and information source unities. It uses the relevaince principle and combination, thus gains complementary information without redundancy. It can estimate timely condition and important degree of transferring information. Information fusion technology of wireless sensor networks can cut down information transmission amounts and improve information accuracy, confidence and the overall efficiency of collecting the information.Starting off the nature of information fusion, this thesis uses the systematization method to research information fusion, analyzing the theory and the technology of information fusion. Our main work is as follows:(1) summarizing the particular characteristics, a few of hotspot problems and protocol architecture in wireless sensor networks.(2) systematica lly study information fusion theory including definition, system structure, classification, algorithm, applying field. From user's point of view, the necessary information can be undoubtedly divided into three types: node oriented, area oriented, network oriented. Next we import class thought, encapsulate the different fusion methods and information types, and then may realize the application without constrains. Therefore we give an information fusion framework based on UML in WSN.(3) bring forward information fusion system based on SOM. Simulation modules include reading information module, fusion pretreatment module, information fusion module, result display module and retrospect module. The simulated experimental result has confirmed validity of this method. Combining letter with graphics makes the fusion result more intuitionistic.In a word, SOM has the formidable ability in processing magnanimous information. Therefore, information fusion technology based on SOM in WSN can obtain more exact and general information of environment to assist intelligence decision-making. It is significance of environment monitoring.