Abstract
Emergencies can happen at anytime and anywhere. Governments around the world try to ensure public and private organizations’ preparedness for all types of potential emergencies. They usually rely on implementing autonomous systems to deal with unpredictable emergency scenarios. This paper proposes an adaptive emergency evacuation approach based on a wireless sensor network integrated with cloud. The proposed approach maximizes the safety of the obtained paths by adapting to the characteristics of the hazard, evacuees’ behavior, and environmental conditions. It also employs an on-demand cloudification algorithm that improves the evacuation accuracy and efficiency for critical cases. It mainly handles the important evacuation issue when people are blocked in a safe, dead-end area of a building. Simulation results show an improved safety and evacuation efficiency by an average of 98% over the existing time-based and single-metric emergency evacuation approaches.
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Acknowledgment
The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through the Research Project No R5-16-01-0.
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Alnabhan, N., Al-Aboody, N., Al-Rawishidy, H. (2019). Emergency Navigation Approach Using Wireless Sensor Networks and Cloud Computing. In: Rocha, Á., Serrhini, M. (eds) Information Systems and Technologies to Support Learning. EMENA-ISTL 2018. Smart Innovation, Systems and Technologies, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-030-03577-8_29
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DOI: https://doi.org/10.1007/978-3-030-03577-8_29
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