Bluetooth 5.0 Suitability Assessment for Emergency Response within Fire Environments
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Published:2023-11-10
Issue:22
Volume:12
Page:4599
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ISSN:2079-9292
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Container-title:Electronics
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language:en
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Short-container-title:Electronics
Author:
Black Brendan1, Rafferty Joseph1ORCID, Santos Jose1ORCID, Ennis Andrew1, Perry Philip1ORCID, McKee Maurice2
Affiliation:
1. School of Computing, Ulster University, Belfast BT15 1ED, UK 2. School of Built Environment, Ulster University, Belfast BT15 1ED, UK
Abstract
Natural disasters, such as wildfires, can cause widespread devastation. Future-proofing infrastructure, such as buildings and bridges, through technological advancements is crucial to minimize their impact. Fires in disasters often stem from damaged fuel lines and electrical equipment, such as the 2018 California wildfire caused by a power line fault. To enhance safety, IoT applications can continuously monitor the health of emergency personnel. Using Bluetooth 5.0 and wearables in mesh networks, these apps can alert others about an individual’s location during emergencies. However, fire can disrupt wireless networks. This study assesses Bluetooth 5.0’s performance in transmitting signals in fire conditions. It examined received signal strength indicator (RSSI) values in a front open-fire chamber using both Peer-to-Peer (P2P) and mesh networks. The experiment considered three transmission heights of 0.61, 1.22, and 1.83 m and two distances of 11.13 m and 1.52 m. The study demonstrated successful signal transmission with a maximum loss of only 2 dB when transmitting through the fire. This research underscores the potential for reliable communication in fire-prone environments, improving safety during natural disasters.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference44 articles.
1. Fujihara, A., and Yanagizawa, T. (2015, January 2–4). Proposing an extended ibeacon system for indoor route guidance. Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems (INCOS), Taipei, China. 2. Alam, M.A.U., Pathak, N., and Roy, N. (2015, January 22–24). Mobeacon: An ibeacon-assisted smartphone-based real time activity recognition framework. Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Coimbra, Portugal. 3. Corna, A., Fontana, L., Nacci, A.A., and Sciuto, D. (2015, January 9–13). Occupancy detection via ibeacon on android devices for smart building management. Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, Grenoble, France. 4. Kim, J., Kwon, S., and Seo, S. (2014, January 26–30). Kwangsuk Park Highly wearable galvanic skin response sensor using flexible and conductive polymer foam. Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, USA. 5. Edoh, T. (2019). Medical Internet of Things (m-IoT)—Enabling Technologies and Emerging Applications, IntechOpen.
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