Abstract
This research proposes a novel fire detection framework leveraging the connectivity standards alliance’s (CSA-IoT) matter protocol to enhance early detection and response capabilities within the internet of things (IoT) ecosystem. Traditional fire detection systems often suffer from limitations in accuracy, false alarms, and real-time decision-making. This study addresses these challenges by developing and evaluating a matter-based IoT framework. a comprehensive experimental setup was designed, incorporating both real-world deployments and simulated environments to rigorously test the proposed framework under diverse fire scenarios. Performance metrics, including detection accuracy, false positive/negative rates, and response times, were meticulously recorded and compared against those of traditional systems. The results demonstrate the superior performance of the matter-based approach, achieving a detection accuracy of 95%, a significantly reduced false positive rate of 2%, and an average response time of 8 s, surpassing conventional methods. The integration of machine learning algorithms within the framework further enables real-time decision-making dynamics, facilitating intelligent and adaptive responses to fire incidents. the findings highlight the promising potential of the matter-based IoT framework for real-world fire safety applications. However, considerations regarding integration with existing infrastructure, cost-effectiveness, and scalability remain crucial for widespread adoption. Future work will focus on refining the framework, fostering collaborative partnerships with industry stakeholders, and proactively engaging with policymakers to establish standards and guidelines for matter-enabled fire detection systems.
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The data used was mix of real-time and secondary data. The results are shown from figures 5 to 9.
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Bhardwaj, N., Joshi, P. A MATTER-Enabled IoT Framework for Enhanced Fire Detection and Real-Time Decision-Making. SN COMPUT. SCI. 5, 1088 (2024). https://doi.org/10.1007/s42979-024-03477-x
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DOI: https://doi.org/10.1007/s42979-024-03477-x