A Dynamic Model for Fire Emergency Evacuation Based on Wireless Sensor Networks

Abstract

Abstract-This work introduces a dynamic model for the fire emergency evacuation problem. The model extends the concept safety introduced by Barnes et.al. for the situation when the navigation graph is dynamic. The two possible scenarios are described for using the dynamic model with a Wireless Sensor Network for fire emergency evacuation.

Design and experimental evaluation of an interactive system for pre-movement time reduction in case of fire

“…Another system in real-time building monitoring technologies concerns sensor units and communication network based on wireless Zig-Bee which can also be used in evacuation situations [44][45][46][47], such as those for construction elevator security system [48] or patient localization and environmental monitoring [49]. Localization data can be elaborated by different algorithms [32] in order to give information or stimuli to people evacuating (e.g., appropriate evacuation routes) [50][51][52][53][54]. The interactive module effectively returns information and stimuli to the occupants based on algorithm results.…”

Managing Emergencies Optimally Using a Random Neural Network-Based Algorithm

“…In [8] is presented a distributed algorithm to find safe paths for evacuees taking into account predictions of the movement of the hazards, but there are some shortcomings addressed in [9]. The distributed building evacuation simulator used in our simulations is firstly proposed in [10] and particularly in [11], and it can reduce the simulation time required for large-scale systems and facilitate the modelling of the agents.…”

Evacuation Time Analysis and Optimization for Distributed Emergency Guiding Based on Wireless Sensor Networks

“…Several centralized solutions have been proposed for emergency guiding [6], [7], [8], [9], [10], [11]. Reference [6] deploys a large number of active RFID tags in a building for indoor localization.…”

“…Third, it predicts the evacuation time from each sensor to an exit under concurrent people moving, thus capable of planning the fastest path to an exit. Finally, [3], [4], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18] and our load-balancing framework. distributed distance capacity load concurrent move evacuation time features guiding awareness awareness balancing modeling prediction reference [3], [4], [12], [13], [14], [15], [16] √ √ reference [6], [7], [ The rest of this paper is organized as follows.…”