Securing Lives and Assets: IoT-Based Earthquake and Fire Detection for Real-Time Monitoring and Safety
Communications in Computer and Information Science, ISSN: 1865-0937, Vol: 2054 CCIS, Page: 15-25
2024
- 4Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures4
- Readers4
Conference Paper Description
The Internet of Things (IoT) and the Internet of Vehicles (IoV) represent cutting-edge technologies with the potential to significantly impact various sectors, particularly disaster management and public safety. This research introduces an innovative system for real-time earthquake and fire detection, strategically deploying sensors in vehicles and buildings. These sensors collect data transmitted to a central unit, enabling rapid detection through advanced analytics. The system leverages IoV technology for quicker emergency responses and efficient evacuation routes. Compared to traditional systems, it offers faster disaster response, reducing risks to lives and property. The use of IoV technology enhances decision-making based on real-time traffic data, increasing adaptability. This study explores the implementation and potential impact of this IoT and IoV system on public safety and disaster management.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85190415763&origin=inward; http://dx.doi.org/10.1007/978-3-031-56703-2_2; https://link.springer.com/10.1007/978-3-031-56703-2_2; https://dx.doi.org/10.1007/978-3-031-56703-2_2; https://link.springer.com/chapter/10.1007/978-3-031-56703-2_2
Springer Science and Business Media LLC
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