A Fractal Theory Based Layered Traffic Model Used  in Internet of Things

doi:10.13190/jbupt.201204.38.wuqw

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (4): 38-41.doi: 10.13190/jbupt.201204.38.wuqw

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A Fractal Theory Based Layered Traffic Model Used in Internet of Things

WU Qi-wu

Department of Communication Engineering, Armed Police Engineering University

Received:2011-10-14 Revised:2012-01-14 Online:2012-08-28 Published:2012-07-08
Contact: Qi-Wu WU E-mail:wuqiwu700@163.com
Supported by:
Basic Research Foundation of Engineering University of Armed Police Force

Abstract

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

CLC Number:

TN915

WU Qi-wu. A Fractal Theory Based Layered Traffic Model Used in Internet of Things[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2012, 35(4): 38-41.

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A Fractal Theory Based Layered Traffic Model Used in Internet of Things

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