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Adaptive frequency hopping in industrial Wireless Sensor Networks: A decision-theoretic framework
Zheng M(郑萌); Yang B(杨博); Liang W(梁炜); Yu HB(于海斌); Chen L(陈林)
作者部门工业控制网络与系统研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码88-92
收录类别EI ; CPCI(ISTP)
EI收录号20161402187556
WOS记录号WOS:000380502300022
产权排序1
ISSN号2379-7711
ISBN号978-1-4799-8730-6
摘要This paper proposes an adaptive frequency hopping (AFH) approach that allows Industrial Wireless Sensor Networks (IWSNs) to cognitively switch working channels for high transmission reliability. Assuming the communication spectrum state follows a Markov Process (MP), we build a theoretical AFH framework based on the theory of Markov Decision Process (MDP). With this decision-theoretic framework, we can achieve an AFH strategy that maximizes the expected cumulative transmission reliability over a finite horizon. Judging the high computational complexity of the proposed MDP model, we further propose a myopic AFH with reduced complexity by assuming that each channel evolves independently. Without additional computation burdens or control messages exchange between sensors, the proposed AFH strategies are centrally computed by the network manager. Simulations finally demonstrate the efficiency of the proposed AFH strategies.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17387
专题工业控制网络与系统研究室
通讯作者Liang W(梁炜)
作者单位1.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China
2.Laboratory of Industrial Control Network and System, Shenyang Institute of Automaton, Chinese Academy of Sciences, Shenyang, China
3.University of Chinese Academy of Sciences, Beijing, China
4.Laboratoire de Recherche en Informatique (LRI), University of Paris-Sud XI, Orsay, France
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Zheng M,Yang B,Liang W,et al. Adaptive frequency hopping in industrial Wireless Sensor Networks: A decision-theoretic framework[C]. Piscataway, NJ, USA:IEEE,2015:88-92.
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