Unveiling Insights from Massive IoT Data: A Framework for Real-Time Analytics

Abstract

A smart analytical environment must be adopted through ubiquitous or pervasive computing, enabled by the Internet of Things (IoT), significant technological advances, and the growing trend toward big data. Big Data refers to the enormous volume of data generated by a wide range of networked, interconnected sensors in a communication network. These networked devices require effective management and control over the communication network. Accordingly, a non-trivial analysis concern was raised about the effective collection, processing, and monitoring of large volumes of data from smart IoT-based sensors while consuming little energy. We have selected the smart office infrastructure for the study of sustainable and effective sensor data, despite the broader notion of the Internet of Things in the smart city. To enhance daily living, this article outlines the potential and promise of effective big data analytics in smart offices. To create positive and advantageous situations for their interaction and use, we have combined the features of the four most intriguing technologies, namely sensors, cloud computing, big data, and the Internet of Things (IoT). Through its real-time implementation, our proposed framework for managing sensor services would estimate each node’s relative energy consumption in a smart communication network. Additionally, we have used their relevant throughput and energy usage to compare our suggested real-time solution with a typical system. Consequently, our projected real-time smart office solutions may guide us toward an effective smart workplace.