**1. Introduction**

Lately, the whole field of networks has undergone a significant technical revolution. Network automation is a trendy issue that has been discussed for a long time. IoT technology complements it, which paves the way for the provision of this aspect. The Internet of Things [1] is a cross-device environment created by gadgets that focus on

three key tasks: data transmission, data reception, and data processing. Initially, local physical devices connected to the Internet for real-time data analysis were considered the IoT network. The size of IoT has grown over time, from local workstations to industrial IoT frameworks [2]. IoT research describes the proliferation of IoT in healthcare [3], industry setup [4], business analytics, education, area networks, and more. Therefore has the associated risks are due to the expected increase in IoT devices in a diverse environment.

The Internet of Things is one of the most critical and revolutionary trends of the twenty-first century. The Internet of Things (IoT) is a global network of billions of interconnected "things" that can detect, act, and communicate with one another and/ or the Internet [1, 2]. Current forecasts exceed initial forecasts for IoT growth: While Gartner predicts 14.2 billion interconnected things in 2019 (which might rise to 25 billion by 2021 [3]), Arm predicts one trillion additional devices will be manufactured between 2017 and 2035 [4]. This tendency is generating exponential increase in the number of chances for businesses and service providers by affecting all sectors of technology, allowing today's organizations, large and small, to gather data on basically everything, from anywhere, at any time. The rise of IoT would be inextricably connected to the wireless trend, which began with Radio Frequency Identification (RFID), also benefiting from the continued development of other conventional technologies naming Wi-Fi, Bluetooth and devices based on IEEE 802.15.4., extensively utilized in traditional wireless sensors [5]. Those kind of systems are typically ad hoc wireless networks made up of a massive number of nodes, i.e. nodes, with limited resources, which work unitedly to reach a common goal (e.g., environmental monitoring and intelligent traffic control, industrial, surveillance systems, etc.) which is capable of transforming physical phenomena into digital data and move them to the Internet.

In the last few years, Motes have been used in a variety of sectors feedback systems, process control, counting monitoring, automotive and automation. Nevertheless, while developing these devices with limited resources, the requirements of small size, weight, low power consumption, and low cost (SWaP-C) are always sought. Physical constraints would continue and be increased by the demands of recent trends as technologies around the IoT edge expand rapidly and boost their potential, namely: (i) Data transfer over the Internet to specific online services in a standardized manner is enabled by connectivity and subsequent interoperability [6–8]; (ii) the need for higher intelligence at the network's edge, allowing systems to make choices faster while consuming less energy [9, 10]; (iii) devices developed for security, mitigating risks from a large number of massive attack surfaces present in the IoT network [11, 12]; and (iv) new energy-saving techniques, allowing autonomous and durable devices [13, 14].

Recent advances in reconfigurable computer technology, specifically Field Programmable Gate Arrays (FPGAs), continue to support the IoT field [3]. Even with low-end IoT endpoints, programmable hardware may give performance advancement, flexibility, scalability [15], hardware-enhanced security, and improved power ratios, making it a suitable choice to handle a wide range of difficulties. Using modern FPGAs in IoT allows for a combination of scalable and flexible resources that are aligned with the SWaP-C premises while also allowing the technology to migrate from the cloud to the edge.

This forward-looking chapter presents a concise and forward-looking assessment of the usage of reconfigurable technology on upcoming low-end IoT motes. This chapter is organized in six section. Section refsec1 focuses into the key trends and

*Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G… DOI: http://dx.doi.org/10.5772/intechopen.104673*

issues confronting current low-end IoT devices. The section provides a full review and up-to-date explanation of the application of reconfigurable computing technology to solve such trends and difficulties, as well as a comparative examination of current FPGA SoC-based low-end IoT motes. 2. Section 3 presents the connectivity evolution beyond the 5G revolution. In section 4 we present a real QoS-QoR aware CNN FPGA accelerator co-design approach for future IoT word. Finally, we conclude this chapter in Section 5.
