Deploying Wireless Sensor Networks in Multi-story Buildings Towards IoT-Based Intelligent Environments: An Empirical Study

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aut.relation.endpage20
aut.relation.issue11
aut.relation.journalSensors
aut.relation.pages20
aut.relation.startpage1
aut.relation.volume24
dc.contributor.authorSarkar, Nurul I
dc.contributor.authorGul, S
dc.date.accessioned2024-05-27T04:08:00Z
dc.date.available2024-05-27T04:08:00Z
dc.date.issued2024-05-25
dc.description.abstractWith the growing integration of the Internet of Things in smart buildings, it is crucial to ensure the precise implementation and operation of wireless sensor networks (WSNs). This paper aims to study the implementation aspect of WSNs in a commercial multi-story building, specifically addressing the difficulty of dealing with the variable environmental conditions on each floor. This research addresses the disparity between simulated situations and actual deployments, offering valuable insights into the potential to significantly improve the efficiency and responsiveness of building management systems. We obtain real-time sensor data to analyze and evaluate the system’s performance. Our investigation is grounded in the growing importance of incorporating WSNs into buildings to create intelligent environments. We provide an in-depth analysis for scrutinizing the disparities and commonalities between the datasets obtained from real-world deployments and simulation. The results obtained show the significance of accurate simulation models for reliable data representation, providing a roadmap for further developments in the integration of WSNs into intelligent building scenarios. This research’s findings highlight the potential for optimizing living and working conditions based on the real-time monitoring of critical environmental parameters. This includes insights into temperature, humidity, and light intensity, offering opportunities for enhanced comfort and efficiency in intelligent environments.
dc.identifier.citationSensors, ISSN: 1424-8220 (Print), 24(11), 1-20. doi: 10.3390/s24113415
dc.identifier.doi10.3390/s24113415
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10292/17602
dc.publisherMDPI
dc.relation.urihttps://www.mdpi.com/1424-8220/24/11/3415
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject0301 Analytical Chemistry
dc.subject0502 Environmental Science and Management
dc.subject0602 Ecology
dc.subject0805 Distributed Computing
dc.subject0906 Electrical and Electronic Engineering
dc.subjectAnalytical Chemistry
dc.subject3103 Ecology
dc.subject4008 Electrical engineering
dc.subject4009 Electronics, sensors and digital hardware
dc.subject4104 Environmental management
dc.subject4606 Distributed computing and systems software
dc.titleDeploying Wireless Sensor Networks in Multi-story Buildings Towards IoT-Based Intelligent Environments: An Empirical Study
dc.typeJournal Article
pubs.elements-id554125
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