A Stochastic Approach of Dependency Evaluation for IoT Devices  

作　　者：HUANG Jiwei CHEN Guo CHENG Bo 

机构地区：[1]State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications

出　　处：《Chinese Journal of Electronics》2016年第2期209-214,共6页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61502043 and No.61132001);National High-tech R&D Program of China(863 Program)(No.2013AA102301);Beijing Natural Science Foundation(No.4162042);Bei Jing Talents Fund(No.2015000020124G082);the Fundamental Research Funds for the Central Universities(No.2015RC22)

摘　　要：Internet of things(Io T) is an emerging technique that offers advanced connectivity of devices, systems, services, and human beings. With the rapid development of hardware and network technologies, the Io T can refer to a wide variety and large number of devices, resulting in complex relationships among Io T devices. The dependencies among Io T devices, which reflect their relationships, are with reference value for the design, development and management of Io T devices. This paper proposes a stochastic model based approach for evaluating the dependencies of Io T devices. A random walk model is proposed to describe the relationships of Io T devices, and its corresponding Markov chain is obtained for dependency analysis. A framework as well as schemes and algorithms for dependency evaluation in real-world Io T are designed based on traffic measurement. Simulation experiments based on real-life data extracted from smart home environments are conducted to illustrate the efficacy of the approach.Internet of things（Io T） is an emerging technique that offers advanced connectivity of devices, systems, services, and human beings. With the rapid development of hardware and network technologies, the Io T can refer to a wide variety and large number of devices, resulting in complex relationships among Io T devices. The dependencies among Io T devices, which reflect their relationships, are with reference value for the design, development and management of Io T devices. This paper proposes a stochastic model based approach for evaluating the dependencies of Io T devices. A random walk model is proposed to describe the relationships of Io T devices, and its corresponding Markov chain is obtained for dependency analysis. A framework as well as schemes and algorithms for dependency evaluation in real-world Io T are designed based on traffic measurement. Simulation experiments based on real-life data extracted from smart home environments are conducted to illustrate the efficacy of the approach.

关 键 词：Internet of things（IoT） Dependency Random walk Markov chain 

分 类 号：TN929.5[电子电信—通信与信息系统] TP391.44[电子电信—信息与通信工程]