Design and Implementation of the E-Switch for a Smart Home

As the development of systems in smart homes is increasing, it is of ever-increasing importance to have data, which artificial intelligence methods and techniques can apply to recognize activities and patterns or to detect anomalies, with the aim of reducing energy consumption in the main home domestic services, and to offer users an alternative in the management of these resources. This paper describes the design and implementation of a platform based on the internet of things and a cloud environment that allows the user to remotely control and monitor Wi-Fi wireless e-switch in a home through a mobile application. This platform is intended to represent the first step in transforming a home into a smart home, and it allows the collection and storage of the e-switch information, which can be used for further processing and analysis.

[1]  Florin Pop,et al.  Deep learning model for home automation and energy reduction in a smart home environment platform , 2018, Neural Computing and Applications.

[2]  Radha Shankarmani,et al.  A Voice Controlled Smart Home Solution With a Centralized Management Framework Implemented Using AI and NLP , 2018, 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT).

[3]  Ravi Kishore Kodali,et al.  A low cost implementation of MQTT using ESP8266 , 2016, 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I).

[4]  Ciprian Dobre,et al.  Chapter 5 – Matching Requirements for Ambient Assisted Living and Enhanced Living Environments with Networking Technologies , 2017 .

[5]  Debatosh Debnath,et al.  A Hybrid Intrusion Detection System for Smart Home Security , 2020, 2020 IEEE International Conference on Electro Information Technology (EIT).

[6]  Jongsung Kim,et al.  Smart Home Forensics—Data Analysis of IoT Devices , 2020, Electronics.

[7]  Antonino Proto,et al.  Indirect Recognition of Predefined Human Activities , 2020, Sensors.

[8]  Jooseok Oh IoT-Based Smart Plug for Residential Energy Conservation: An Empirical Study Based on 15 Months’ Monitoring , 2020 .

[9]  Tanupriya Choudhury,et al.  Implementation model of Wi-Fi based Smart Home System , 2018, 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE).

[10]  Lokeshgupta Bhamidi,et al.  Optimal Sizing of Smart Home Renewable Energy Resources and Battery Under Prosumer-Based Energy Management , 2020, IEEE Systems Journal.

[11]  Herie Park,et al.  Human Comfort-Based-Home Energy Management for Demand Response Participation , 2020, Energies.

[12]  Weidong Xiao,et al.  Realisation of RPS from electrical home appliances in a smart home energy management system , 2019, IET Smart Grid.

[13]  Mohieddine Benammar,et al.  Smart-home automation using IoT-based sensing and monitoring platform , 2018, 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018).

[14]  Wilfried Philips,et al.  Discovering Human Activities from Binary Data in Smart Homes , 2020, Sensors.

[15]  Yuto Lim,et al.  Study of Human Thermal Comfort for Cyber–Physical Human Centric System in Smart Homes , 2020, Sensors.

[16]  Himanshu Singh,et al.  IoT based smart home automation system using sensor node , 2018, 2018 4th International Conference on Recent Advances in Information Technology (RAIT).

[17]  Amy Loutfi,et al.  Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes , 2020, Sensors.

[18]  Mahmoud Elkhodr,et al.  Emerging Wireless Technologies in the Internet of Things: a Comparative Study , 2016, ArXiv.

[19]  Damla Turgut,et al.  Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project , 2020, MSWiM.

[20]  Josef Hallberg,et al.  Hardware for Recognition of Human Activities: A Review of Smart Home and AAL Related Technologies , 2020, Sensors.

[21]  Abbas Javed,et al.  Smart Random Neural Network Controller for HVAC Using Cloud Computing Technology , 2017, IEEE Transactions on Industrial Informatics.

[22]  Gregor Schiele,et al.  Integrating wireless sensor networks within a city cloud , 2014, 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking Workshops (SECON Workshops).

[23]  Sarah C. Darby,et al.  “Home is where the smart is”? Evaluating smart home research and approaches against the concept of home , 2018 .

[24]  Jerker Delsing,et al.  IoT Interoperability—On-Demand and Low Latency Transparent Multiprotocol Translator , 2017, IEEE Internet of Things Journal.

[25]  Jianli Pan,et al.  Future Edge Cloud and Edge Computing for Internet of Things Applications , 2018, IEEE Internet of Things Journal.

[26]  Mehdi Seyedmahmoudian,et al.  Optimal management of home loads with renewable energy integration and demand response strategy , 2020 .

[27]  Giancarlo Fortino,et al.  Enabling IoT interoperability through opportunistic smartphone-based mobile gateways , 2017, J. Netw. Comput. Appl..

[28]  Jianhua Zhang,et al.  An Event-Triggered Online Energy Management Algorithm of Smart Home: Lyapunov Optimization Approach , 2016 .

[29]  Daniel Díaz Sánchez,et al.  Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies , 2017, Future Gener. Comput. Syst..

[30]  Elhadj Benkhelifa,et al.  Customized blockchain-based architecture for secure smart home for lightweight IoT , 2021, Information Processing & Management.

[31]  Mukhammad Andri Setiawan,et al.  Improving Smart Home Concept with the Internet of Things Concept Using RaspberryPi and NodeMCU , 2018 .

[32]  Faisal Saeed,et al.  IoT-Based Intelligent Modeling of Smart Home Environment for Fire Prevention and Safety , 2018, J. Sens. Actuator Networks.

[33]  Margaretha Ohyver,et al.  The Comparison Firebase Realtime Database and MySQL Database Performance using Wilcoxon Signed-Rank Test , 2019, ICCSCI.

[34]  Antonio Pescapè,et al.  Integration of Cloud computing and Internet of Things: A survey , 2016, Future Gener. Comput. Syst..

[35]  Akhilesh Kumar Sharma,et al.  IoT based Diagnosing Myocardial Infarction through Firebase Web Application , 2019, 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA).