Abstract: The Internet of Things pertains to connecting currently unconnected things and people. It is the new era in transforming the existed systems to amend the cost effective quality of services for the society. To support Smart city vision, Urban IoT design plans exploit added value services for citizens as well as administration of the city with the most advanced communication technologies. To make emergency response real time, IoT enhances the way first responders and provides emergency managers with the necessary up-to-date information and communication to make use of those assets. IoT mitigates many of the challenges to emergency response including present problems, like a weak communication network and information lag. In this paper, it is proposed that an emergency response system for fire hazards is designed by using IoT standardized structure. To implement this proposed scheme a low-cost Expressive wi-fi module ESP-32, Flame detection sensor, Smoke detection sensor (MQ-5), Flammable gas detection sensor and one GPS module are used. The sensors detects the hazard and alerts the local emergency rescue organizations like fire departments and police by sending the hazard location to the cloud-service through which all are connected. The overall network utilizes a light weighted data oriented publish-subscribe message protocol MQTT services for fast and reliable communication. Thus, an intelligent integrated system is designed with the help of IoT.

Lakshmana Phaneendra Maguluri, Tumma Srinivasarao, Maganti Syamala, R. Ragupathy and N.J. Nalini, “Efficient Smart Emergency Response System for Fire Hazards using IoT” International Journal of Advanced Computer Science and Applications(IJACSA), 9(1), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090143

@article{Maguluri2018,
title = {Efficient Smart Emergency Response System for Fire Hazards using IoT},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090143},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090143},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {1},
author = {Lakshmana Phaneendra Maguluri and Tumma Srinivasarao and Maganti Syamala and R. Ragupathy and N.J. Nalini}
}