Smart safety early warning system of coal mine production based on WSNs-Reference-Cited by-同舟云学术

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Smart safety early warning system of coal mine production based on WSNs

Published:2020-04 Issue: Volume:124 Page:104609
ISSN:0925-7535
Container-title:Safety Science
language:en
Short-container-title:Safety Science

Author:

Chen Kansong,Wang Chenqi,Chen Liangqing,Niu Xinxin,Zhang Yan,Wan Jixiang

Funder

National Key Technology Support Program

High Technology Innovation Program of Hubei Province of China

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Reference20 articles.

1. Phoemphon, S.; SO-IN, C.; Leelathakul, N. Optimized Hop Angle Relativity for DV-Hop safety localization in Wireless Sensor Networks. IEEE Access 2018, 2018, 2884837.

2. RSS-based indoor localization with PDR location tracking for wirelesssensor networks;Cho;Int. J. Electron. Commun. (AEÜ),2016

3. A new Bollinger band based energy efficient routing for clustered wireless sensor network;Thakkar;Appl. Soft Comput.,2015

4. Wu, Y.Q.; Chen, M.M.; Wang, K.; Fu, G. A dynamic information platform for underground mine safety based on internet of things. Safety Sci., Volume 113, 2019, Pages 9-18, ISSN 0925-7535.

5. Gui, L.Q.; Val, T.; Wei, A.; Dalce, R. Improvement of range-free localization technology by a novel DV-hop protocol in wireless sensor networks. Ad Hoc Networks, 2015, vol. 24(Part B); pp. 55–73.

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3. DV-Hop Localization Based on Distance Estimation Using Multinode and Hop Loss in IoT;IEEE Internet of Things Journal;2024-08-15

4. Applications of IoT Framework for Underground Mine Safety: Limitations and Solutions;J MIN ENVIRON;2024

5. Research on the whole process monitoring and management of coal digital production based on IOT technology;Applied Mathematics and Nonlinear Sciences;2023-10-11

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