关键词: 物联网, 无线射频识别, 分层业务模型, 自相似, Hurst参数

Abstract:

Considering the Internet of things based on radio frequency identification (RFID) as the study object and using the multiple ON-OFF traffics model (obeys heavy tail distribution of Pareto), a centralized self similar layered traffic model of Internet of things is proposed in view of its structure and traffic characteristics. The validity of the model is verified through the measurement of selfsimilarity parameter. Simulation proves that the model is effective. Moreover, the selfsimilarity increases network packet loss rate and queuing delay, and reduces the system throughput.

Key words: Internet of things, radio frequency identification, layered traffic model, self-similar, hurst parameter