SoC-Based Edge Computing Gateway in the Context of the Internet of Multimedia Things: Experimental Platform

Abstract

This paper presents an algorithm/architecture and Hardware/Software co-designs for implementing a digital edge computing layer on a Zynq platform in the context of the Internet of Multimedia Things (IoMT). Traditional cloud computing is no longer suitable for applications that require image processing due to cloud latency and privacy concerns. With edge computing, data are processed, analyzed, and encrypted very close to the device, which enable the ability to secure data and act rapidly on connected things. The proposed edge computing system is composed of a reconfigurable module to simultaneously compress and encrypt multiple images, along with wireless image transmission and display functionalities. A lightweight implementation of the proposed design is obtained by approximate computing of the discrete cosine transform (DCT) and by using a simple chaotic generator which greatly enhances the encryption efficiency. The deployed solution includes four configurations based on HW/SW partitioning in order to handle the compromise between execution time, area, and energy consumption. It was found with the experimental setup that by moving more components to hardware execution, a timing speedup of more than nine times could be achieved with a negligible amount of energy consumption. The power efficiency was then enhanced by a ratio of 7.7 times.

QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

“…Figure 2 shows an illustration of the IoT architecture which could be aided by RFID, optical tags, QR codes, Bluetooth low energy, Wi-Fi direct, and LTE-Advanced, among others. Most of the scholars emphasize improvement of efficiency for handling a lot of realtime information (info) but ignore multimedia transmission aspects [7,8]. e direction of research is shifting from the ordinary IoT to the multimedia-based IoT because of the need to enable smart devices to efficiently observe, sense, and understand their environment through multimedia data [9,10], hence resulting in the emergence of the newer field of Internet of multimedia things (IoMT).…”

Edge-Based Efficient Search over Encrypted Data Mobile Cloud Storage

“…This prevents the untrusted cloud from obtaining and abusing user biometrix content, and also ensures the image quality, which means that the result of face recognition is not affected by image encryption. Maher Jridi et al [ 31 ] also offloaded the image compression and encryption tasks to the digital gateway on the edge of network. Manisha Jindal et al [ 32 ] used a trustworthy edge server to implement a secure forward encryption algorithm to prevent data from being acquired by unauthenticated users and untrusted service providers.…”

mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scaled IoT Applications

“…Recently released FPGAs (Field Programmable Gate Arrays) are better suited for edge computing, which requires faster processing speeds and flexible accelerators, with small, low-power, low-cost features. The ASIC-FPGA (Application-Specific Integrated Circuit-Field Programmable Gate Arrays) co-design architecture was proposed to take advantage of the small size and low-power characteristics of the ASIC (Application-Specific Integrated Circuit) and the flexibility of the FPGA [ 13 , 14 , 15 ]. The functional hardware blocks are partitioned into the ASIC and the FPGA; the entire software application is operated and controlled at the ASIC, and the device-specific hardware is configured at the FPGA.…”