Name
Title | ||
|---|---|---|
Detecting Confident Information Coverage Holes in Industrial Internet of Things: An Energy-Efficient Perspective. |
Abstract | ||
|---|---|---|
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, ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCOM.2018.1701195 | IEEE Communications Magazine |
Keywords | Field | DocType |
Smart devices,Pollution,Environmental monitoring,Internet of Things,Environmentally friendly manufacturing techniques,Quality of service | Information coverage,Software deployment,Computer security,Efficient energy use,Computer science,Quality of service,Industrial Internet,Distributed computing | Journal |
Volume | Issue | ISSN |
56 | 9 | 0163-6804 |
Citations | PageRank | References |
6 | 0.45 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianjun Deng | 1 | 127 | 15.27 |
| Laurence T. Yang | 2 | 6870 | 682.61 |
| Lingzhi Yi | 3 | 39 | 3.97 |
| Minghua Wang | 4 | 64 | 15.40 |
| Zhi-Liang Zhu | 5 | 694 | 64.61 |