Radio Frequency Identification System Resource Optimization And Algorithm Research

Radio frequency identification(RFID)technology is the foundation of the Internet of Things(IOT).With the innovation of large-scale integrated circuit technology,materials technology and mature of the standard,RFID technology and applications in recent years has been rapid development.With the expanding field of RFID applications,RFID system design is being or is about to face a more complex application environments and more demanding constraints.A large number of practical applications is waiting for researchers to explore and resolve.This dissertation focus on the the theoretical research and experimental simulation on problems including:the tag estimation algorithm,the energy efficiency of tag identification algorithm,multi-reader adaptive power allocation algorithm,the wireless charging tag MAC layer protocol optimization.This dissertation achieves following major innovative contributions:(1)Based on linear Bayesian theory,the tags estimate algorithm with high precision and low complexity is proposed.While in the inheritance of the advantages of accurate statistical prediction method,the linear model of the tag estimate is proposed which reduce the complexity of the algorithm greatly for linear fit.It is proved that there is little difference in the estimation accuracy between the proposed algorithm,with substantial decrease in computational complexity,and the existing high-precision algorithm.The algorithm can satisfy the reader in mobile applications or embedded applications under the conditions of reduced demand for computational complexity.(2)The in-depth studies is conducted on energy consumption problem of the integration of RFID and wireless sensor network.A comprehensive performance evaluation model for the time-efficiency and energy-efficiency of the binary tree algorithm is build.The analytical expressions for energy-efficiency and time-efficiency are derived.Simulations show that there is a range of transmit power,within which the energy-efficiency and time-efficiency can be close to the optimum state.This result helps RFID system design and network planning in the choice of reasonable parameters to maximize the efficiency of energy and time.(3)The wireless charging label MAC layer protocol optimization strategy is studied.Based on the FSA algorithm,the affects of different energy strategy to throughput and energy efficiency is analyzed in the conditions of dynamic changes of the available energy.The upper bound of the maximum throughput is proved in the energy fluctuations conditions.With the Markov model and dynamic programming method the optimal energy utilization strategies is derived.Simulation results show that the proposed optimization strategy can effectively suppress the fluctuation of throughput caused by the change of available energy.(4)The adaptive weight power allocation algorithm is proposed to solve the interference problem in a multi-reader environment.The algorithm automatically increases the weight of readers which SNR are below the nominal value to guide the reader to adjust its power to make their own signal-to-noise level be as close as possible to the nominal value.The distributed implementation methods is proposed to further improve the algorithm.Simulation results show that the algorithm showed good performance in terms of fairness and convergence.