Different soft computing algorithms used in fire sensor node of wireless sensor network integrated with IoT Online publication date: Sun, 27-Aug-2017
by S.R. Vijayalakshmi; S. Muruganand
International Journal of Embedded Systems (IJES), Vol. 9, No. 4, 2017
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.
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