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Detecting Confident Information Coverage Holes in Industrial Internet of Things: An Energy-Efficient Perspective

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成果类型:
期刊论文
作者:
Deng, Xianjun;Yang, Laurence T.;Yi, Lingzhi*;Wang, Minghua;Zhu, Zhiliang
通讯作者:
Yi, Lingzhi
作者机构:
[Wang, Minghua; Deng, Xianjun] Univ South China, Dept Commun Engn, Hengyang, Peoples R China.
[Yang, Laurence T.] St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS, Canada.
[Yi, Lingzhi] USC, Sch Environm Protect & Safety Engn, Hengyang, Peoples R China.
[Yi, Lingzhi] USC, Sch Civil Engn, Hengyang, Peoples R China.
[Zhu, Zhiliang] Wenzhou Univ, Coll Phys & Elect Informat Engn, Wenzhou, Zhejiang, Peoples R China.
通讯机构:
[Yi, Lingzhi] U
USC, Sch Environm Protect & Safety Engn, Hengyang, Peoples R China.
USC, Sch Civil Engn, Hengyang, Peoples R China.
语种:
英文
期刊:
IEEE COMMUNICATIONS MAGAZINE
ISSN:
0163-6804
年:
2018
卷:
56
期:
9
页码:
68-73
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61401193, 61371141]; State Scholarship Fund of the China Scholarship Council (CSC) [201608430036]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2017JJ3275, 2018JJ2333]; Research Foundation of the Education Bureau of Hunan Province [14A119, 15C1195, 16A181]; Natural Science Foundation of Zhejiang ProvinceNatural Science Foundation of Zhejiang Province [LGG18F010016]
机构署名:
本校为第一且通讯机构
院系归属:
环境与安全工程学院
摘要:
Radiological pollution, which poses a great threat to public health and environment safety, is one of the critical concerns in nuclear industries. The ever growing IIoT is a promising network paradigm for monitoring the radiological pollution level in uranium mill tailings. Coverage, as one of the most decisive indicators for evaluating the success of IIoT-based radiological pollution monitoring, reflects how well the sensing fields of interest are monitored. Nevertheless, the possible coverage holes resulting from sensors' random deployment, e...

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