Sensing, calculating, and disseminating evacuating routes during an indoor fire using a sensor and diffusion network

Liu, Jingya; Rojas‐Cessa, Roberto; Dong, Ziqian

doi:10.1109/icnsc.2016.7479014

Cited by 16 publications

(2 citation statements)

References 25 publications

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“…The proposed model was tested and evaluated through an agent-based simulation with the following parameters: (i) the number of successful evacuees; (ii) the average and maximum evacuation time. In their paper, J. Liu et al [51] present a framework to calculate efficient evacuation paths to evacuate a building based on information obtained from a sensor network. A central server processes the information and calculates the evacuation routes in real time using the A* algorithm [52].…”

Section: Fire Building Evacuationmentioning

confidence: 99%

Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a Fire

et al. 2022

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The evacuation of buildings in case of fire is a sensitive issue for civil society that also motivates the academic community to develop and study solutions to improve the efficiency of evacuating these spaces. The study of human behavior in fire emergencies has been one of the areas that have deserved the attention of researchers. However, this modeling of human behavior is difficult and complex because it depends on factors that are difficult to know and that vary from country to country. In this paper, a paradigm shift is proposed which, instead of focusing on modeling the behavior of occupants, focuses on conditioning this behavior by providing real-time information on the most efficient evacuation routes. Making this information available to occupants is possible with a solution that takes advantage of the growing use of the IoT (Internet of Things) in buildings to help occupants adapt to the environment. Supported by the IoT, multi-agent recommender systems can help users to adapt to the environment and provide the occupants with the most efficient evacuation routes. This paradigm shift is achieved through a context-based multi-agent recommender system based on contextual data obtained from IoT devices, which recommends the most efficient evacuation routes at any given time. The obtained results suggest that the proposed solution can improve the efficiency of evacuating buildings in the event of a fire; for a scenario with two hundred people following the system recommendations, the time they take to reach a safe place decreases by 17.7%.

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Section: Fire Building Evacuationmentioning

confidence: 99%

Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a Fire

et al. 2022

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“…In Liu and al. (2016), a framework for calculating efficient routes to evacuate survivors during a fire was proposed.…”

Section: Emergency Evacuationmentioning

confidence: 99%

Overview of Search and Rescue from Robotics to Wireless Sensors and Robots Networks

Allali

Benchaïba

2016

International Journal of Robotics Applications and Technologies

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In the recent years, many researchers have shown interest in developing search and rescue system composed of one or multiple robots, which have the mission of finding victims and identifying the potential hazards. To enhance the robotic systems there is a growing trend of integrating wireless sensor networks (WSNs) to robots and multi-robot systems, which gives more awareness of the environments. In the first part of this article, the authors present a review of robotic system and their environments in search and rescue systems. Additionally, they explain challenges related to these systems and tasks that a robot or a multi-robot system should execute to fulfil the search and rescue activities. As a second part, the authors expose the system that integrates WSNs with robots and the advantages that brings this latter. In addition, they cite tasks and missions that are achieved in a better way with a cooperation of WSN and robots. Furthermore, the authors expose and discuss the remarkable research, challenges and the open research challenges that includes this cooperation.

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Review on Evacuation Systems for Indoor Fire Situation

Ghorpade¹,

Rudrawar²

2020

Lecture Notes on Data Engineering and Communications Technologies

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Sensing, calculating, and disseminating evacuating routes during an indoor fire using a sensor and diffusion network

Cited by 16 publications

References 25 publications

Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a Fire

Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a Fire

Overview of Search and Rescue from Robotics to Wireless Sensors and Robots Networks

Review on Evacuation Systems for Indoor Fire Situation

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