UMP Institutional Repository

IoT Enabled Relay Network for Designing An Energy Efficient Highway Lighting System

Muhammad Adib, Abid and Rahman, Md. Arafatur and Azad, Saiful and Hasan, Md. Munirul and Mohammad Hameez, Mat Zin (2016) IoT Enabled Relay Network for Designing An Energy Efficient Highway Lighting System. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 260-266.. ISBN 978-967-2054-04-7


Download (840kB) | Preview


The objective of this project is to discuss about Internet of Things (IoT) enabled Relay Network for designing an energy efficient highway lighting system. This system is to encourage the nation to reduce the usage of energy consumption in highway lighting system. By using light sensor and proximity sensor, it will detect the light intensity and the movement of the vehicles through the lamp post. The controller that controlled the system is Arduino Uno. In order to reduce the energy consumption, the selection of device that been used in this system is chosen based on the usage of energy consumption itself. This concept will reducing the energy consumption used as it is one of hot issue in this global. The system works as light intensity and proximity sends the data captured by the sensors to the Arduino Uno and it transmits the data to Light Emitting diode (LED) to switch on the light. Then, XBee Module will transmit the data to next lamp post. The data received on first lamp post will be used to switch on the LED. The main objective of this project is to design and develop a prototype model that can reduce energy consumption by using light intensity and proximity from the vehicles. Besides, it is to support government mission to encourage more people in saving energy.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: IOT, Relay Network, Smart Light, Zigbee, Energy Efficiency, Arduino
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 24 Mar 2017 01:28
Last Modified: 26 Feb 2018 01:23
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item