A Novel IoT Switching Model Based on Cloud-Centric RTDBS

Abstract

INTRODUCTION: Over the past decade, a significant rise in the number of internet-connected devices was observed. The number of smart devices is continuously increasing. The expanding network of interconnected devices provided an impetus for rapid advancement in the domain of Internet-of-Things (IoT). IoT has recently become a centre of attraction for research community. The development of microprocessors and microcontrollers has supplemented advancement in IoT paradigm. The rapidly emerging paradigm of IoT is facing challenges which render significant impact on its performance and cost.

OBJECTIVES: In this paper, a novel architecture based on Real-Time Database System (RTDBS) coupled with cloud functionalities is proposed for providing efficient and cost-effective IoT system. An efficient circuit design consisting of solid state technology has also been integrated with the proposed architecture for enhancing the feasibility of the model.

METHODS: The proposed model leverages cloud-hosted RTDBS for developing IoT system. After an inspective analysis, the most appropriate RTDBS was selected. In this model, a User Interface (UI) is coupled with the selected RTDBS. The same RTDBS is connected with ESP8266 which is directly attached with switching circuit based on a proposed design. The UI is also retrofitted with the functionality of recognizing speech in both English and Urdu. After speech recognition, corresponding command is sent to RTDBS and RTDBS updates the relevant instance. The modification of state generates a signal that is sent to ESP8266, and ESP8266 triggers the switching circuit according the signal received from RTDBS.

RESULTS: The proposed IoT system was implemented and tested for continuous switching transactions and it purported to be highly tolerant against the threat of malfunctioning which arises due to continuous switching operations. The implemented IoT system was subjected to voice commands both in English and Urdu, and it exhibited the quick responses.

CONCLUSION: The results obtained from the scrutiny of implementation endorse the efficiency of proposed model.