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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)
Department工业控制网络与系统研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages88-92
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187556
WOS IDWOS:000380502300022
Contribution Rank1
ISSN2379-7711
ISBN978-1-4799-8730-6
AbstractThis 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.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17387
Collection工业控制网络与系统研究室
Corresponding AuthorLiang W(梁炜)
Affiliation1.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
Recommended Citation
GB/T 7714
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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