Wireless Sensor Networks: An Emerging Solution for Underground Mines

Alok Ranjan, H. B. Sahu and Prasant Misra
Additional contact information
Alok Ranjan: Department of Mining Engineering, National Institute of Technology Rourkela, Rourkela, India
H. B. Sahu: Department of Mining Engineering, National Institute of Technology Rourkela, Rourkela, India
Prasant Misra: TCS Research & Innovation, TATA Consultancy Services Ltd., Bangalore, India

International Journal of Applied Evolutionary Computation (IJAEC), 2016, vol. 7, issue 4, 1-27

Abstract: With continuous advancements in sensor technology, wireless communications, modern network architectures and electronics; it is now feasible to fulfill the requirements of underground mines using wireless sensor network (WSN). At present, coal mining industries have the option of choosing a communication and tracking systems based on their requirement and budget. WSN has the advantage of support for wireless architecture which may fit for mining industries. There is limited literature available, which discuss the different features and associated challenges to WSNs in underground mines. However, in this paper, WSN has been targeted as a feasible solution for the underground mining industries, and emphasis has been given on integration of comprehensive concepts. The objective of this survey paper is to present a platform such that it is not only beneficial for beginners who want to pursue research in this area, but also target current researchers developing solutions for such confined and hostile environments. Furthermore, the application of WSN for underground mines has been categorized followed by real, and simulation-based studies and the significant implications for wireless communications and monitoring systems in the underground mines have been discussed in details.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJAEC.2016100101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:7:y:2016:i:4:p:1-27

Access Statistics for this article

International Journal of Applied Evolutionary Computation (IJAEC) is currently edited by Sukhpal Singh Gill

More articles in International Journal of Applied Evolutionary Computation (IJAEC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().