Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture

TL;DR

This paper presents a layered architecture for sensor signal processing in IoT applications, utilizing high-level synthesis and embedded processing elements to improve data sensing and transmission between sensors and cloud systems.

Contribution

It introduces a novel four-layer design framework architecture with embedded processing elements supported by high-level synthesis tools for IoT sensor data processing.

Findings

Enhanced data sensing capabilities in IoT sensor nodes

Improved signal transmission efficiency between sensors and cloud

Validated framework with high-level synthesis tools

Abstract

Sensor routers play a crucial role in the sector of Internet of Things applications, in which the capacity for transmission of the network signal is limited from cloud systems to sensors and its reversal process. It describes a robust recognized framework with various architected layers to process data at high level synthesis. It is designed to sense the nodes instinctually with the help of Internet of Things where the applications arise in cloud systems. In this paper embedded PEs with four-layer new design framework architecture is proposed to sense the devises of IOT applications with the support of high-level synthesis DBMF (database management function) tool.