Research On Data Fusion Algorithms In Wireless Sensor Network For Indoor Environment Monitoring System

The21th century computer science technology is developing in a high speed andthe information of the accurate and efficient access has become in no matter fororganization or individual are both very significant things. There are many importantresearch areas, such as time synchronization, topology control, routing protocol, datafusion, etc. The data fusion technology is one of the most mainly problem in thewireless sensor network area. The energy of wireless sensor network is from batteries,so it is very precious. Each node can get their own information, but it will be a bigamount of network information if every node sends information to the convergent node.There will be much redundant information and a big burden to the network. The energyand the bandwidth’s consume will also increase. To solve these problems, data fusionhas come out. It is a significant research direction in the wireless sensor network andneed more research on it.The indoor environment is complex. The communication is easily disturbed, andthe nodes become invalid is possible. So we need more accuracy and high efficiencyfusion algorithm.In the WSN, there are many data fusion algorithms, which can be divided into twoparts: traditional and modern method. Each of the algorithms has their own characters,as to the characters of wireless sensor network, they all have their own fitness area.There is no general algorithm which can be used in every condition. The data fusionalgorithm can also bring some negative problems. The robustness of the network willlower down, the average delay will become larger. The former problem is because of thedata fusion often lose some information, the later problem is because of the algorithm’srunning and waiting. This paper is mainly have the discussion on the actual using in thefield of indoor environment monitoring. To have some research on data fusionalgorithms which fit for the special environment. With the consideration of multipleaspects, this paper has done some research analysis and improvement on some datafusion algorithm to find out the algorithm which fit for the indoor environmentmonitoring system.In this paper, due to designed more numerical computing and mathematics formula,so in this paper I use the matlab simulation tool to corresponding algorithm simulationresearch, and achieve the algorithm’s validation results. The simulation experimentresults show that the improved D-S evidence theory algorithm and the kalman filteringalgorithm to improve the algorithm of than before more suitable for indoor environmentmonitoring of the actual requirement, which can effectively improve the accuracy of thedata and the data collection’s efficiency. In this paper, for have used much data computing and mathematical formulas. Souse MATLAB simulation tool to complete the experiment research, and complete theverification of the algorithm result. The results tell us, comparing with the initialalgorithm the improved data fusion algorithm will be more fit for the actual requirementof indoor environment monitoring. To many special problems, there will be betterfusion result.