Linear system design with application in wireless sensor networks
Gao, Kaiye1,2; Peng, Rui3; Qu, Li1; Xing, Liudong4; Wang, Shouyang2; Wu, Di5
AbstractWireless sensor networks (WSN) are essential technologies of modern smart industry and their reliability is crucial for industrial information integration. This paper contributes by modeling the reliability of a linear multi-state consecutively connected system (LMCCS), which consists of a WSN providing the signal source, some intermediate nodes, and a sink node. The wireless sensors (WS) constituting the WSN are deployed around monitored objects to sense their conditions and transmit the sensed signal to a base station. The base station of the WSN serves as the source node of the LMCCS. The intermediate nodes of the LMCCS are sequentially arranged along a line to provide coverage and transmission of signal from the WSN base station to the sink node. Each node may assume multiple states, characterized by different signal coverage and transmission ranges of the connection element (CE) deployed in the node. As the state of each node is random, the signal coverage of the entire LMCCS is also random. Existing works on LMCCSs have mainly focused on studying the continuity of signal transmission (in particular, the probability that the sink node or signal receiver can successfully receive the signal from the source node or signal emitter). However, in some practical applications (e.g., risk source monitoring systems), the signal coverage area is a more important performance metric than the signal receiving probability. This paper proposes a universal generating function-based method to model and analyze the reliability and expected signal coverage of the LMCCS with WSN. The optimal CEs allocation problem is then solved with the objective of minimizing the cost of the entire system while meeting pre-specified requirements on the expected signal coverage and system reliability. The CEs allocation policy obtained should strike the balance among the system reliability, signal coverage and cost.
KeywordReliability Cost Signal coverage Linear multi-state consecutively connected system Universal generating function Wireless sensor network
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China (NSFC)[72001027] ; National Natural Science Foundation of China (NSFC)[72071005] ; Beijing Nova Program of Science Technology[Z191100001119100] ; Research Base Project of the Social Science Foundation of Beijing[19JDGLB2019] ; Beijing Municipal Commission of Education[KM202111232007] ; Beijing Information Science & Technology University[2121YJPY228]
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS IDWOS:000896072100001
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Document Type期刊论文
Corresponding AuthorXing, Liudong
Affiliation1.Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, 55 East Zhongguancun Rd, Beijing 100190, Peoples R China
3.Beijing Univ Technol, Sch Econ & Management, 100 Pingleyuan, Beijing 100124, Peoples R China
4.Univ Massachusetts Dartmouth, 285 Old Westport Rd, Dartmouth, MA 02747 USA
5.Xi An Jiao Tong Univ, Sch Management, Xianningxi 28, Xian 710049, Shanxi, Peoples R China
Recommended Citation
GB/T 7714
Gao, Kaiye,Peng, Rui,Qu, Li,et al. Linear system design with application in wireless sensor networks[J]. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION,2022,27:14.
APA Gao, Kaiye,Peng, Rui,Qu, Li,Xing, Liudong,Wang, Shouyang,&Wu, Di.(2022).Linear system design with application in wireless sensor networks.JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION,27,14.
MLA Gao, Kaiye,et al."Linear system design with application in wireless sensor networks".JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION 27(2022):14.
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