Evaluating forecasting algorithms and stocking level strategies using discrete-event simulation
Proceedings of the 29th conference on Winter simulation
Double exponential smoothing: an alternative to Kalman filter-based predictive tracking
EGVE '03 Proceedings of the workshop on Virtual environments 2003
VR '03 Proceedings of the IEEE Virtual Reality 2003
Emergency Evacuation using Wireless Sensor Networks
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
A distributed decision support system for building evacuation
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Location and Navigation Support for Emergency Responders: A Survey
IEEE Pervasive Computing
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Recent advances in integrated electronic devices motivated the use of Body Area Networks in many applications including monitoring, localization, tracking and navigation. In this paper we introduce an indoor navigation approach based on Body Area Network to assist firefighters in finding their way to save human lives and to combat fires. For this we develop a technique based on a real-time graph called Temporal Weighted Graph that provides some special functions such as localization, navigation, communication, and hazard estimation. Then we implement a real time solution aiming to predict firefighters' isolation time in an indoor space by estimating the horizon of risk deterioration in the graph. And finally, we demonstrate the importance of the presented technique in assisting firefighters during the navigation process. A set of simulation scenarios are conducted to evaluate the performance of the solution.