KMS Of Academy of mathematics and systems sciences, CAS
| A Novel Risk-Based Prioritization Approach for Wireless Sensor Network Deployment in Pipeline Networks | |
| Yi, Xiaojian1,2; Hou, Peng1; Dong, Haiping1 | |
| 2020-03-01 | |
| Source Publication | ENERGIES
 |
| Volume | 13Issue:6Pages:15 |
| Abstract | In the face of increased spatial distribution and a limited budget, monitoring critical regions of pipeline network is looked upon as an important part of condition monitoring through wireless sensor networks. To achieve this aim, it is necessary to target critical deployed regions rather than the available deployed ones. Unfortunately, the existing approaches face grave challenges due to the vulnerability of identification to human biases and errors. Here, we have proposed a novel approach to determine the criticality of different deployed regions by ranking them based on risk. The probability of occurrence of the failure event in each deployed region is estimated by spatial statistics to measure the uncertainty of risk. The severity of risk consequence is measured for each deployed region based on the total cost caused by failure events. At the same time, hypothesis testing is used before the application of the proposed approach. By validating the availability of the proposed approach, it provides a strong credible basis and the falsifiability for the analytical conclusion. Finally, a case study is used to validate the feasibility of our approach to identify the critical regions. The results of the case study have implications for understanding the spatial heterogeneity of the occurrence of failure in a pipeline network. Meanwhile, the spatial distribution of risk uncertainty is a useful priori knowledge on how to guide the random deployment of wireless sensors, rather than adopting the simple assumption that each sensor has an equal likelihood of being deployed at any location. |
| Keyword | wireless sensor network deployment pipeline network risk-based prioritization inhomogeneous Poisson point process condition monitoring coverage problem |
| DOI | 10.3390/en13061512 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation[71801196] ; National Science and Technology Major Project[2017ZX06002006] |
| WOS Research Area | Energy & Fuels |
| WOS Subject | Energy & Fuels |
| WOS ID | WOS:000524096800060 |
| Publisher | MDPI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51107 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Hou, Peng |
| Affiliation | 1.Beijing Inst Technol, Sch Mechatron Engn, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Yi, Xiaojian,Hou, Peng,Dong, Haiping. A Novel Risk-Based Prioritization Approach for Wireless Sensor Network Deployment in Pipeline Networks[J]. ENERGIES,2020,13(6):15. |
| APA | Yi, Xiaojian,Hou, Peng,&Dong, Haiping.(2020).A Novel Risk-Based Prioritization Approach for Wireless Sensor Network Deployment in Pipeline Networks.ENERGIES,13(6),15. |
| MLA | Yi, Xiaojian,et al."A Novel Risk-Based Prioritization Approach for Wireless Sensor Network Deployment in Pipeline Networks".ENERGIES 13.6(2020):15. |
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