IoT based Fire and Emergency Evacuation Using Virtual Sensors

Abstract

People make use of technology to come out of any discrepancy these days. In this mobile scenario,
people are equipped with devices that can communicate with sensors. When emergency occurs, navigation
services in the smartphones can guide people move to exits while they can safeguard themselves form emergency
situations and can be helpful in saving lives. To achieve this there needs an automatic and early detection of
emergencies and dangers which also requires proper navigation services and quick response provided with the
most safest and easiest path to exits. For this there needs to be an environment monitoring using a viable source
and reliable data transmission methodology. Wireless sensor networks (WSNs) are used to support emergency
and navigation services. WSNs are most likely to deploy easily at an affordable cost and have the ability of
ubiquitous sensing. Previous works on emergency navigation have excluded considering hazardous levels of
emergency and navigation capabilities to reach the exits. In such a case developers fail to consider the congestion
levels at each exits and high hazard levels and lower evacuation capabilities, which becomes an important
demerit and needs to be rectified. In this paper, a different algorithm is used where the sensor network explores
the emergencies and provides necessary guidance information to the mobile users so that the users can be
eventually guided to safe exits as well as considering the hazard levels and congestion at exits and hence the best
path is provided.