Overview of Present-Day IoT Data Processing Technologies

Shah, Nabhi; Shah, Saumya; Jain, Pulak; Doshi, Nishant

doi:10.1016/j.procs.2022.10.150

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…The Internet of Things (IoT) revolutionizes our interaction with the surrounding objects, forming a network of diverse devices such as computers, sensors, intelligent gadgets, and smartphones. These devices are interconnected through various technologies to access the internet [ 1 ]. In upcoming years, through sixth-generation (6G) networks, the capacity to facilitate interactions among billions of interconnected devices and applications, all at remarkably elevated data speeds, emerges as a notable prospect which leads us to the Massive IoT (MIoT) concept [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Publish/Subscribe Method for Real-Time Data Processing in Massive IoT Leveraging Blockchain for Secured Storage

Ataei,

Eghmazi,

Shakerian

et al. 2023

Sensors

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In the Internet of Things (IoT) era, the surge in Machine-Type Devices (MTDs) has introduced Massive IoT (MIoT), opening new horizons in the world of connected devices. However, such proliferation presents challenges, especially in storing and analyzing massive, heterogeneous data streams in real time. In order to manage Massive IoT data streams, we utilize analytical database software such as Apache Druid version 28.0.0 that excels in real-time data processing. Our approach relies on a publish/subscribe mechanism, where device-generated data are relayed to a dedicated broker, effectively functioning as a separate server. This broker enables any application to subscribe to the dataset, promoting a dynamic and responsive data ecosystem. At the core of our data transmission infrastructure lies Apache Kafka version 3.6.1, renowned for its exceptional data flow management performance. Kafka efficiently bridges the gap between MIoT sensors and brokers, enabling parallel clusters of brokers that lead to more scalability. In our pursuit of uninterrupted connectivity, we incorporate a fail-safe mechanism with two Software-Defined Radios (SDR) called Nutaq PicoLTE Release 1.5 within our model. This strategic redundancy enhances data transmission availability, safeguarding against connectivity disruptions. Furthermore, to enhance the data repository security, we utilize blockchain technology, specifically Hyperledger Fabric, known for its high-performance attributes, ensuring data integrity, immutability, and security. Our latency results demonstrate that our platform effectively reduces latency for 100,000 devices, qualifying as an MIoT, to less than 25 milliseconds. Furthermore, our findings on blockchain performance underscore our model as a secure platform, achieving over 800 Transactions Per Second in a dataset comprising 14,000 transactions, thereby demonstrating its high efficiency.

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Section: Introductionmentioning

confidence: 99%