Design and Implementation of An Rfid-Based Smart Home Automation System Using Iot and Cloud Computing

Abstract

In recent years, home automation has become more popular. Since IoT technology is constantly developing, everything is now controlled by it. Smarter and more sophisticated home automation solutions have been developed. The appliances must be completely automated with no user input at all in order to improve the quality of life. This makes it possible for the end user to engage with the appliances without any hassles. Without actually touching a button, the appliances understand and respond to the user’s needs. In addition to being more challenging to manage, wired sensor systems necessitate extensive wiring of the sensors at various places. As a result, wireless sensor nodes have become increasingly important and are essential to the effective deployment of home automation. One of the major benefits of automating household appliances is energy conservation. Therefore, the consumer needs to be informed about how much energy the automated appliances use. In a developing nation like India, where people lead hectic lives, it is crucial to provide comfortable, cost-effective energy-saving solutions with increased efficiency. Due to recent security breaches in many homes, home security must contain certain items. A secure living can occur in the home if various security features are accessible. Public attention and worry have been sparked by recent publications on IoT and smart homes, which have significant security issues. Security in smart homes is just as important as it is in any other computing systems to ensure that data is not lost, altered, or accessed without authorisation. It goes without saying that with traditional residences, an intruder can only threaten or steal a home if they are physically present in the neighbourhood. However, when a home is connected to the Internet, an attacker or intruder can use the Internet to access and control the property from anywhere in the globe at any time, monitoring the occupants of the home via connected cameras