Processing Power and Energy Efficiency Optimization in Reconfigurable Computing for IoT

Abstract

Since the world of the Internet of Things (IoT) has taken over how we interact 
with technology daily. The increasing proliferation of IoT applications across 
many industries calls for flexible and energy-efficient computing solutions to 
run the networks of connected devices. With the emergence of Reconfigu
rable computing, also using Field Programmable Gate Arrays (FPGAs), speech 
processing as well as many other processing and computation intensive ap
plications, has been shown to be ideally suited for IoT sensor nodes and edge 
devices to get the best combination between processing capability and pow
er consumption. In this article, we explore the possibility of reconfigurable 
computing as solution to the special problems of IoT systems, and novel ways 
that can enhance their performance and energy efficiency.