Title: Different soft computing algorithms used in fire sensor node of wireless sensor network integrated with IoT

Authors: S.R. Vijayalakshmi; S. Muruganand

Addresses: Department of Electronics and Instrumentation, Bharathiar University, Coimbatore-641046, Tamilnadu, India ' Department of Electronics and Instrumentation, Bharathiar University, Coimbatore-641046, Tamilnadu, India

Abstract: One of the most interesting real world phenomena that can be monitored by wireless sensor network integrated with internet of things is fire. The soft computing technologies like fuzzy logic, DS algorithm using Dempster-Shaffer theory, comparison algorithm and threshold algorithm are incorporated in sensor nodes in order to gain the manageable sensor network and control of the environment. Selecting the best soft computing technique for the sensor node is useful in the maximum extension of components life cycle and best design of sensor node. Many aspects, such as energy efficiency, coverage, cost of the system, prediction of fire and quality of services have been analysed. The node uses the digital temperature - humidity sensor, light sensor, smoke detector for measurement and MSP430 microcontroller for processing and implementing for fire detection. The detected information is transmitted to the base station and it is connected throughout the world through internet.

Keywords: fire protection; fuzzy logic; wireless sensor networks; WSNs; internet of things application; temperature sensor; DS algorithm; security systems; threshold algorithm to detect fire; sensor node.

DOI: 10.1504/IJES.2017.086125

International Journal of Embedded Systems, 2017 Vol.9 No.4, pp.310 - 320

Received: 15 Oct 2015
Accepted: 27 Mar 2016

Published online: 27 Aug 2017 *

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