| Title | An IoT Ecosystem for the Implementation of Scalable Wireless Home Automation Systems at Smart City Level |
|---|---|
| ID_Doc | 39451 |
| Authors | Lohokare, J; Dani, R; Rajurkar, A; Apte, A |
| Title | An IoT Ecosystem for the Implementation of Scalable Wireless Home Automation Systems at Smart City Level |
| Year | 2017 |
| Published | |
| Abstract | Today home automation is quite common in developed nations. Remote access of appliances and devices in a home is provided via the internet. The challenge lies in making the system smart and deployable in a scalable manner across an entire city in a developing nation. This paper proposes a framework for making home automation achievable across a smart city in a scalable and data efficient manner. We have proposed an end to end home automation suite with modular implementation using open source components. The backend implemented supports multiple IoT protocols and the system is horizontally scalable. The 'Rules engine' implemented analyzes the data real time thus triggering various actions pre-decided by users. The system involves energy monitoring for enabling judicial energy consumption in a home. Unlike smart-meters, which give data about total energy consumption per house, the proposed solution is an innovative way to get fairly accurate analysis of per device consumption. A single system can be deployed and can handle data coming from homes for an entire city. The implemented system includes web-dashboard and android application for monitoring the consumption. The scalable architecture used ensures that there will be no problem handling data traffic as number of users increase. Experiments on the prototype system showed low latency for real time analytics even with large simultaneous data streams. The unique features of this system are its modular & dynamic nature, scalability and real time analytics for quick decision making. |
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