| 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)
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| Department | 工业控制网络与系统研究室 |
| Conference Name | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) |
| Conference Date | June 8-12, 2015 |
| Conference Place | Shenyang, China |
| Source Publication | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) |
| Publisher | IEEE |
| Publication Place | Piscataway, NJ, USA |
| 2015 | |
| Pages | 88-92 |
| Indexed By | EI ; CPCI（ISTP） |
| EI Accession number | 20161402187556 |
| WOS ID | WOS:000380502300022 |
| Contribution Rank | 1 |
| ISSN | 2379-7711 |
| ISBN | 978-1-4799-8730-6 |
| Abstract | 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. |
| Language | 英语 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/17387 |
| Collection | 工业控制网络与系统研究室 |
| Corresponding Author | Liang W(梁炜) |
| Affiliation | 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 |
| 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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| File Name/Size | DocType | Version | Access | License | ||
| Adaptive frequency h（376KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text | ||
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