This document presents a system for balancing energy usage in a smart home infrastructure. The system aims to make a smart system to compare light bills and allow controlling IoT devices on or off from anywhere. The system architecture involves using Arduino, sensors, relays, Bluetooth and a mobile application. The data will be stored on cloud services like Firebase. A literature survey found existing systems have issues with communication and costs that this proposed system aims to address by monitoring home equipment usage and allowing remote control of devices to optimize energy utilization.

1. Balanced Energy Usage in The Smart
Home Infrastructure
Presented by :
1. Bhavsar Nikita D.
2. Joshi Poonam V.
3. Nagare Pranali S.
4. Sabale Dhanashri R.
Project Guide :N. S. Ambekar

2. Contents
Introduction
Motivation
Objective
Literature Survey
System Architecture
Requirements
Conclusion
Reference

3. Introduction
•Light bill related issues.
•Balance Energy Usage.
•Internet of Things.
•Network Function Virtualization.
•Cloud computing.

4. Motivational
Utilization of equipment.
Verify light bill.

5. Objective
◦ Make Smart System.
◦ Compare light bill.
◦ IoT Devices On/Off Devices from anywhere.
◦ Storing data on cloud.

6. Literature Survey
Sr.no Title Publication Description
1 Design and Implementation of IoT-
Based Automation System for Smart
Home
2018 International
Symposium on
Networks, Computers
and Communications
(ISNCC)
low-cost Wi-Fi based automation system for
Smart Home (SH) in order to monitor and
control home appliances remotely using
Android-based application.
2 Mobile based home automation using
Internet of Things(IoT)
2015 International
Conference on
Control,
Instrumentation,
Communication and
Computational
Technologies
(ICCICCT)
Internet of Things(IoT) is one of the
promising technologies which can be used
for connecting, controlling and managing
intelligent objects which are connected to
Internet through an IP address.

7. Sr.no Title Publication Description
3 A Low Cost Home Automation
System Using Wi-Fi Based
Wireless Sensor Network
Incorporating Internet of Things
(IoT)
2017 IEEE 7th
International
Advance Computing
Conference (IACC)
This paper illustrates a methodology to
provide a low cost Home Automation
System (HAS) using Wireless Fidelity
(Wi-Fi). This crystallizes the concept of
internetworking of smart devices.
4 IOT Based Smart Energy Meter for
Efficient Energy Utilization in
Smart Grid
2018 2nd
International
Conference on
Power, Energy and
Environment:
Towards Smart
Technology (ICEPE)
The existing energy meter system has
many problems associated to it and one
of the key problem is there is no full
duplex communication. To solve this
problem, a smart energy meter is
proposed based on Internet of Things
(loT).

8. System Architecture

9. Requirements
Hardware requirements:
◦ Ardunio Uno
◦ Connecting Cables
◦ Bluetooth
◦ Sensors
◦ Relay
◦ Mobile

10. Requirements
Software requirements:
◦ Android Studio 3.3 or above
◦ Arduino IDE
◦ Mobile Operating system 5.1 or above
◦ Windows operating system 7 or above
◦ Firebase / My SQL

11. Conclusion
Hence we are overcoming the drawback of existing system. we are monitoring home
equipment's and their unit uses by particular equipment. We can easily on or off devices from
anywhere in home also we handle the data that is placed on cloud from anywhere

12. References
1. Gartner Inc., “Gartner Says 6.4 Billion Connected ”Things” Will Be in Use in 2016, Up 30 Percent
From 2015,” http://www.gartner.com/newsroom/id/3165317, Nov. 2015.
2. Nokia, “A buyers and influencers guide to connected device management, for all things connected
in mobile, home and IoT,” Strategic Whitepaper, Jul 2016.
3. Ericsson, “Ericsson Mobility Report, On the Pulse of the Networked Socienty,” Report, Jun 2016.
4. D. Evans, “The internet of things, how the next evolution of the internet is changing everything,”
Whitepaper, Cisco Internet Business Solutions Group (IBSG), Apr 2011.
5. I. Miladinovic and S. Schefer-Wenzl, “Highly Scalable IoT Architecture through Network
Function Virtualization,” in Open Journal of Internet of Things (OJIOT), vol. 3, no. 1, 2017.
6. Y. Li and M. Chen, “Software-Defined Network Function Virtualization: A Survey,” IEEE Access,
vol. 3, pp. 2542– 2553, 2015.

13. Thank you