Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16506
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dc.contributor.authorShekarappa, G Swetha-
dc.contributor.authorAnusha, B-
dc.contributor.authorDhanu, R-
dc.date.accessioned2024-08-29T05:41:22Z-
dc.date.available2024-08-29T05:41:22Z-
dc.date.issued2024-
dc.identifier.citationVol. 1156 LNEE; pp. 321-333en_US
dc.identifier.isbn9789819707669-
dc.identifier.issn1876-1100-
dc.identifier.urihttps://doi.org/10.1007/978-981-97-0767-6_27-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16506-
dc.description.abstractRecent advancements in sensor technology, including innovations like Micro-electromechanical Systems (MEMS), wireless communication, embedded systems, distributed processing, and the deployment of wireless sensor applications, have brought about a significant transformation in the realm of wireless sensor network (WSN). In recent times, WSN has witnessed widespread adoption across various domains, with a particular emphasis on applications in agricultural and environmental surveillance and monitoring. Environmental monitoring has emerged as a critical field for observation and validation, enabling real-time interaction and control with the physical environment. This article delves into the exploration and evaluation of the myriad applications of wireless sensor networks in the context of environmental monitoring. To establish an effective monitoring system, certain prerequisites must be met. Research indicates that this approach has become a feasible alternative to traditional manual monitoring methods. Additionally, these methodologies have demonstrated the potential to improve system performance, offer convenience and efficiency, and fulfill functional requirements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.en_US
dc.language.isoenen_US
dc.publisherLecture Notes in Electrical Engineeringen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.subjectBuzzeren_US
dc.subjectIoten_US
dc.subjectMining Helmet Designen_US
dc.subjectSensoren_US
dc.titleIot-Based Conditioning Monitor System for Mining Applicationsen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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