A radio link reliability prediction model for wireless sensor networks

doi:10.1504/IJSNET.2017.10007422

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	A radio link reliability prediction model for wireless sensor networks
	Sun, Wei 1; Li, Qiyue 1; Wang, Jianping 1; Chen, Liangfeng2 ; Mu, Daoming 1; Yuan, Xiaojing 3
	2018
发表期刊	INTERNATIONAL JOURNAL OF SENSOR NETWORKS
ISSN	1748-1279
通讯作者	Li, Qiyue(liqiyue@mail.ustc.edu.cn)
摘要	The wireless sensor network (WSN) has great prospects in monitoring and control of industrial plants and devices. One of the main challenges of developing WSNs for industrial applications is to satisfy their requirements for reliability with strict bounds. Accurate prediction of a radio link's reliability is helpful for upper layer protocols to optimise network level quality of service (QoS) performance. In this paper, to predict the bounds of the confidence interval of the packet reception ratio (PRR), a radio link reliability prediction (RLRP) model is proposed for describing the relation between the reliability metric's bounds and factors that affect it. Based on the RLRP model, the adaptive extended Kalman filter algorithm is adopted to predict the reliability metric. Real-world experiments were performed to demonstrate the proposed model. The results indicate that our RLRP model is accurate in predicting the bounds of link reliability, can better reflect the random characteristic of the radio link, and is more sensitive to dynamic changes of the radio link.
关键词	link reliability model reliability prediction wireless sensor network WSN Kalman filter
DOI	10.1504/IJSNET.2017.10007422
关键词[WOS]	KALMAN FILTER
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[51307041] ; China Scholarship Council[201606695038] ; National Natural Science Foundation of China[51307041] ; China Scholarship Council[201606695038]
项目资助者	National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council ; China Scholarship Council
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000441297100001
出版者	INDERSCIENCE ENTERPRISES LTD
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/37664
专题	信息中心
通讯作者	Li, Qiyue
作者单位	1.Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Anhui, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Anhui, Peoples R China 3.Univ Houston, Coll Technol, Houston, TX 77004 USA
推荐引用方式 GB/T 7714	Sun, Wei,Li, Qiyue,Wang, Jianping,et al. A radio link reliability prediction model for wireless sensor networks[J]. INTERNATIONAL JOURNAL OF SENSOR NETWORKS,2018,27(4):215-226.
APA	Sun, Wei,Li, Qiyue,Wang, Jianping,Chen, Liangfeng,Mu, Daoming,&Yuan, Xiaojing.(2018).A radio link reliability prediction model for wireless sensor networks.INTERNATIONAL JOURNAL OF SENSOR NETWORKS,27(4),215-226.
MLA	Sun, Wei,et al."A radio link reliability prediction model for wireless sensor networks".INTERNATIONAL JOURNAL OF SENSOR NETWORKS 27.4(2018):215-226.