FPGA on Cyber-Physical Systems for the Implementation of Internet of Things

FPGA on Cyber-Physical Systems for the Implementation of Internet of Things

Rajit Nair, Preeti Nair, Vidya Kant Dwivedi
Copyright: © 2020 |Pages: 15
DOI: 10.4018/978-1-5225-9806-0.ch004
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Abstract

Today, in cyber-physical systems, there is a transformation in which processing has been done on distributed mode rather than performing on centralized manner. Usually this type of approach is known as Edge computing, which demands hardware time to time when requirements in computing performance get increased. Considering this situation, we must remain energy efficient and adaptable. So, to meet the above requirements, SRAM-based FPGAs and their inherent run-time reconfigurability are integrated with smart power management strategies. Sometimes this approach fails in the case of user accessibility and easy development. This chapter presents an integrated framework to develop FPGA-based high-performance embedded systems for Edge computing in cyber-physical systems. The processing architecture will be based on hardware that helps us to manage reconfigurable systems from high level systems without any human intervention.
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Introduction

It is well known that traditional wireless networks (Elson & Romer, 2003) are based on centralized processing of data even though they are based on distributed sensing scheme but these types of networks will not work efficiently due to requirement of high performance with huge amount of data. So to overcome from this situation there is transformation from centralized approach to distributive approach which keeps the processing unit in a distributive manner. Few years before one more area is also included in Wireless sensor network i.e. Cyber- Physical Systems (CPS) (J. Lee, Bagheri, & Kao, 2015), in which Wireless Sensor Network act as a bridge between physical and the cyber worlds. By 2020 it has been predicted that there will be as many as 50 billion devices which will be connected through internet. Today we can see there are many areas in which Cyber- Physical systems are developed which are like smart or self driving cars without drivers moving around the cities (Daily, Medasani, Behringer, & Trivedi, 2017), making decisions during dealing with number of difficult situations which appears during each route, sensing and understanding the environment deeply. Smart grids consist of millions of consumers which are connected to energy production centers, this has to make decisions during run time inorder to increase the operational efficiency of different distributors and generators that allows to make consumer flexible during making choices (Li et al., 2010). Industry 4.0 has revolutionalized many machines that are interconnected, provides intelligent, self adaptable, resilient and many more features which are cost effective and efficient also (Zezulka, Marcon, Vesely, & Sajdl, 2016). The advantages of using this methodology are as follows:

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    A dynamic reconfigurable system based on hardware accelerated edge computing that manages the computing performance, energy consumption and resilient at execution phase.

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    On-chip technology has been optimized for DMA powered memory transaction (Management, 2005).

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    Parallel execution during run time for exploiting parallelism.

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    Customized FPGA based edge computing system (Yu et al., 2017).

Figure 1.

IoT edge computing framework

978-1-5225-9806-0.ch004.f01

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