Enhancing Energy Efficiency in IoT Based Application

Abstract

Internet of Thing (IoT) has been recognized as one of the favorable networking paragons to bridge the space between the physical and internet world. With the emergence of IoT, a gigantic rise has been seen in smart applications. In upcoming years, IoT is going to be ubiquitous. Many of the countries are trying to progress towards the smart cities. For such initiation, billions of sensors will be installed for the implementation of IoT applications which will generate massive amount of data. Such massive amount of sensors, data and devices would cost huge amount of money. In addition to cost of installation, energy consumption by the IoT devices is a prominent area of concern. Although IoT applications in themselves are considered to be very energy efficient, however their own energy consumption is very high. Energy efficiency of IoT would make it the long term technology in the coming years. Components which are installed for the working of IoT devices require energy in the form of electricity. Most of the IoT applications are battery operated and the power dissipation is mainly dependent on the working and interaction between different components of IoT. Charging of batteries from direct electricity is not a good option. This problem has been resolved by energy harvesting ideas like solar energy. But to serve billions of sensors and other components as well as managing such big data need huge amount of energy and dissipate battery’s energy at higher pace. So, it is very important to focus on controlling the growing demand of energy by IoT applications. This thesis studies the gaps in existing techniques as well as in previously proposed IoT based applications and analyzes them to list different solutions for saving energy in IoT applications. Scheduling of Data Transmission is one of the solutions which has been listed and proposed in this work to enhance the energy efficiency of IoT based application. This solution mainly focuses on the energy consumption during continuous data transmission in IoT systems which keeps the networking device or gateway active all the time and results in drainage of energy continuously. In order to implement Scheduled Data Transmission solution, an IoT based application, named Smart Street Lighting System has been studied as a case study and also implemented. Additional feature Gmail notification on fault detection in the system has also been added in the application to make it more efficient in terms of its usability. The proposed solution aims to reduce the energy consumption in IoT application by transmitting data to the cloud in an energy efficient way.