Integrating Wireless Sensor Network and Internet of Things for Detecting Fire using Fuzzy Logic

Abstract

ABSTRACT:The recent rapid increase of global network has an enormous impact on the smart elements cooperation. These smart elements can be located anywhere and interact with the computer system. they are random kind and have to be intelligently planned in order to support, monitoring and control of real world phenomena such as fire. Hence, the Internet of Things (IoT) concept rises like new, promising pattern for future Internet development. Wireless Sensor Networks are visualizing as integral part of the Internet of Things. These huge number of IoTs are usually used in the cooperating, monitoring, and management of real world phenomena. The WSN is designed to monitor the fire, a real world interesting phenomena. The soft computing technology like fuzzy logic is incorporated in fire security sensor nodes in order to gain the manageable sensor net work, monitoring and control of the environment. For the best design of the sensor node and maximum extension of components life cycle, the selection of the best soft computing technique is useful. In this paper the aspects such as energy efficiency, coverage, cost of the system, prediction of fire and quality of services are analyzed. The fire security sensor network is integrated with IoT which supports fast critical event signaling of fire and remote access to sensor data via the Internet.

Increasing Smoke Classifier Accuracy using Naïve Bayes Method on Internet of Things

“…In general, this system is known as fire alarm system. Fire alarm system has a very significant role in the function of detecting and providing quick response to the threat of fire disaster for residents of the house [1].…”