Abstract
Excavation activities in deep mining involve the risk of accidents posing danger to humans. The implementation of smart devices to monitor the conditions of workers and locate them in deep mines would be expensive using current alternatives. Long-range wide area network (LoRaWAN) has become the niche in Internet of Things (IoT) development and deployment due to its high scalability and low-power attributes. The main goal in using such a communication protocol is to make sure that all the devices can connect to the Internet for monitoring, safety, and endless other purposes as per the application and situation that is to be handled. IoTāenabled low-power wide area network (LPWAN) wearable devices can technologically renovate and thereby reduce high-risk mining accidents and influence the rate at which rescue operations are carried out to improve safety conditions and monitoring performance across the industry. The challenge faced in rescue operations in the mining sector is to locate the survivors. This research aims to provide a solution for the same. The adaptive data rate, low-power, and long-range characteristics of LoRa make it suitable for developing safety devices cost-effectively. The findings of this research article propose that a smaller payload can be delivered at a higher success rate, in addition we have implemented the Fresnel zone to obtain the optimum position of gateways for the best signal coverage in each mining sector. The long-range scalability and signal penetration make LoRa more reliable in environments where communication must be established underground or through opaque mediums. Furthermore, these devices can be implemented as watches, helmets, or safety vests.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
FerrĆ© G, Giremus A (2018)LoRa physical layer principle and performance analysis. In: 2018 25th IEEE international conference on electronics, circuits and systems (ICECS), Bordeaux, pp 65ā68. https://doi.org/10.1109/ICECS.2018.8617880
Hayati N, Suryanegara M (2017)The IoT LoRa system design for tracking and monitoring patients with mental disorder. In: 2017 IEEE international conference on communication, networks, and satellite (Comnetsat), Semarang, pp 135ā139
Illiano C (n.d.) Rescue near for Chile miners trapped for two months. Retrieved 9/9/2020, from Reuters Alert Net http://www.alertnet.org/thenews/newsdesk/N08212025.htm
Georgiou O, Raza U (2017) Low power wide area network analysis: can LoRa scale? IEEE Wirel Commun Lett 6(2):162ā165
Sinha R, Yiqiao W, Hwang S-H (2017) A survey on LPWA technology: LoRa and NB-IoT. ICT Exp 3.https://doi.org/10.1016/j.icte.2017.03.004
Petajajarvi J, Mikhaylov K, Yasmin R, HƤmƤlƤinen M, Iinatti J (2017) Evaluation of LoRa LPWAN technology for indoor remote health and wellbeing monitoring. Int J Wirel Inf Netw. https://doi.org/10.1007/s10776-017-0341-8
Cattani M, Boano CA, Rƶmer K (2017) Evaluation of the reliability of LoRa long-range low-power wireless communication. J Sens Actuator Netw 6:7. https://doi.org/10.3390/jsan6020007
Augustin A, Yi J, Clausen TH, Townsley W (2016) A study of LoRa: long range and low power networks for the Internet of Things. Sensors 16:1466. https://doi.org/10.3390/s16091466
Waret A, Kaneko M, Guitton A, El Rachkidy N (2019) LoRa throughput analysis with imperfect spreading factor orthogonality. IEEE Wirel Commun Lett 8(2):408ā411
Liu Y, Zhu H, Yu TTA, Tsang KF, Wu CK, Hung FH (2018)Packet loss analysis for LoRa-based heart monitoring system. In: IECON 2018ā44th annual conference of the IEEE industrial electronics society, Washington, DC, pp 4668ā4671
IbƔƱez CL, Masnou BM, FerrƩ RV, Gomez C (2017). Modeling the energy performance of LoRaWAN. Sensors 17:2364. https://doi.org/10.3390/s17102364
Raza U, Kulkarni P, Sooriyabandara M (2017) Low power wide area networks: an overview. IEEE Commun Surv Tutorials 19(2):855ā873. https://doi.org/10.1109/COMST.2017.2652320
Dambal V, Mohadikar S, Kumbhar A, Guvenc I (2019) Improving LoRa signal coverage in urban and sub-urban environments with UAVs
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Karanth, N., Choudhary, D., Reddy, J.F., Athulla, U. (2022). LoRaWAN-Based Communication Protocol for Wearable Safety Devices in Mining Fields. In: Shetty, N.R., Patnaik, L.M., Nagaraj, H.C., Hamsavath, P.N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Lecture Notes in Electrical Engineering, vol 790. Springer, Singapore. https://doi.org/10.1007/978-981-16-1342-5_35
Download citation
DOI: https://doi.org/10.1007/978-981-16-1342-5_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-1341-8
Online ISBN: 978-981-16-1342-5
eBook Packages: EngineeringEngineering (R0)