Dissertation
Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Optical pattern recognition devices

Research and integration of data cleaning method in hybrid RFID network environment

Author LuoQingPing
Tutor WangYongLi
School Nanjing University of Technology and Engineering
Course Software Engineering
Keywords RFID Wireless Sensor network Hybrid RFID Redundant Filtration transferdelay data fusion
CLC TP391.44
Type Master's thesis
Year 2014
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As the most important technology of Internet of Things, RFID and Wireless Sensor network are all with the characteristics of less manual intervention simplicity of operation and used in harsh environments. RFID is mainly used for target identification and track, but cannot extract environmental contextual information. Wireless Sensor network can provide environmental data, but cannot recognize the motion track of moving target.The combination of RFID and Wireless Sensor network is an important problem of the research of Internet of Things. In addition, Wireless Sensor network is energy-constrained, which suffered from the influence of harsh environment, higher failure rate and instable network topologic structure, that makes in-network data aggregation and data transmission become research hotspot and difficulty. This paper utilizes the formation of combination of RFID and Wireless Sensor network-Hybrid RFID network, which extracts the consistency of target track and environmental data, to realize track and status monitor of special target. Taking hybrid RFID network as the systematic background and cluster structure as the basic, we study the network data fusion method for the purpose of reducing data transmission and delay respectively. This paper proposes an energy efficient RFID and Sensor Data Filtering scheme, which realizes the network data fusion. Furthermore, this paper also proposes a new network structure-NBTD, which satisfies the requirement of real time network transmission delay. At last, we analyze the EERSFS and NBTD network structure by experiment, which proves that our method can reduce the amount of redundant data in the network efficiently, and NBTD network structure can also reduce the network data transmission delay, finally both of them can utilize the limited energy of network efficiently, which extends the life cycle of Wireless Sensor network.

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