Efficient Smart Emergency Response System for Fire Hazards using IoT

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.

Authors and Affiliations

Lakshmana Phaneendra Maguluri, Tumma Srinivasarao, Maganti Syamala, R. Ragupathy, N. J. Nalini

Keywords

Related Articles

Multi-criteria Intelligent Algorithm for Supply Chain Management

In most societies, supply chain management and e-procurement processes, are one of the cornerstones of any economy and a primary influencer on people’s lives. Providing these communities with their different commodity ne...

A New Hybrid Intelligent System for Prediction of Medical Diseases

This paper proposes a hybrid intelligent system as medical decision support tool for data classification based on the Neural Network, Galactic Swarm Optimization (NN-GSO), and the classification model. The goal of the hy...

Model-based Pedestrian Trajectory Prediction using Environmental Sensor for Mobile Robots Navigation

Safety is the most important to the mobile robots that coexist with human. There are many studies that investigate obstacle detection and collision avoidance by predicting obstacles’ trajectories several seconds into the...

A Two-Stage Classifier Approach using RepTree Algorithm for Network Intrusion Detection

In this paper, we present a two-stage classifier based on RepTree algorithm and protocols subset for network intrusion detection system. To evaluate the performance of our approach, we used the UNSW-NB15 data set and the...

Skip List Data Structure Based New Searching Algorithm and Its Applications: Priority Search

Our new algorithm, priority search, was created with the help of skip list data structure and algorithms. Skip list data structure consists of linked lists formed in layers, which were linked in a pyramidal way. The time...

Download PDF file
  • EP ID EP261611
  • DOI 10.14569/IJACSA.2018.090143
  • Views 111
  • Downloads 0

How To Cite

Lakshmana Phaneendra Maguluri, Tumma Srinivasarao, Maganti Syamala, R. Ragupathy, N. J. Nalini (2018). Efficient Smart Emergency Response System for Fire Hazards using IoT. International Journal of Advanced Computer Science & Applications, 9(1), 314-320. https://europub.co.uk/articles/-A-261611