Wireless controlled intelligent heating system using HPSO

Citations of this article
Mendeley users who have this article in their library.


A lot of algorithms are available to optimize the heating level to maintain room temperature. In this paper a low cost and energy efficient control system is proposed which comprises of three sections- sensor node, heater node and remote control. For testing, 2kw heater is placed in 20∗10∗10 cubic feet room area and is controlled through remote control based on Zigbee protocol. Remote control is used to set the desired temperature of heating system. The two temperature nodes are placed in appropriate diagonal location in the room and send the value of room temperature to the heater node. Heater node takes the average of the two sensor nodes and provides feedback to heater system. This is an intelligent network in which heater node intelligently maintains the room temperature by generating error signal with set value from remote and received average value from sensor nodes. Then value of KP, KI, KD is calculated by using PID and hybrid Particle Swarm Optimizing (HPSO) algorithm and adjust the voltage levels of heating element. Heater node is capable to communicate with sensor nodes upto 30 meters and with remote control upto 100 meters. It is observed that upto 16.94% energy can be saved by using proposed system.




Singh, R., Kuchhal, P., Choudhury, S., & Gehlot, A. (2015). Wireless controlled intelligent heating system using HPSO. In Procedia Computer Science (Vol. 48, pp. 600–605). Elsevier B.V. https://doi.org/10.1016/j.procs.2015.04.141

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free