Distributing Computing in Internet of Things

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 2633

Special Issue Editor


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Guest Editor
Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong
Interests: operating systems; distributed systems; cloud computing systems; distributed robotic learning systems

Special Issue Information

Dear Colleagues,

The emergence of the Internet of Things (IoT) and Robotic of Things (RoT) have posed diverse new research challenges and opportunities among distributed computing, high-performance wireless networks, AI, chips, and software systems. This Special Issue of Distributing Computing in Internet of Things in the Future Internet journal will serve as a versatile venue for researchers and industries to present their latest and interesting innovations as well as theories in these relevant areas. Look forward to your submissions.

Dr. Heming Cui
Guest Editor

Manuscript Submission Information

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Keywords

  • distributed computing
  • Internet of Things
  • high-performance wireless networks
  • AI in IoT or robotics

Published Papers (1 paper)

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14 pages, 2705 KiB  
Article
Research and Design of a Decentralized Edge-Computing-Assisted LoRa Gateway
by Han Gao, Zhangqin Huang, Xiaobo Zhang and Huapeng Yang
Future Internet 2023, 15(6), 194; https://doi.org/10.3390/fi15060194 - 27 May 2023
Cited by 3 | Viewed by 1440
Abstract
As a narrowband communication technology, long-range (LoRa) contributes to the long development of Internet of Things (IoT) applications. The LoRa gateway plays an important role in the IoT transport layer, and security and efficiency are the key issues of the current research. In [...] Read more.
As a narrowband communication technology, long-range (LoRa) contributes to the long development of Internet of Things (IoT) applications. The LoRa gateway plays an important role in the IoT transport layer, and security and efficiency are the key issues of the current research. In the centralized working model of IoT systems built by traditional LoRa gateways, all the data generated and reported by end devices are processed and stored in cloud servers, which are susceptible to security issues such as data loss and data falsification. Edge computing (EC), as an innovative approach that brings data processing and storage closer to the endpoints, can create a decentralized security infrastructure for LoRa gateway systems, resulting in an EC-assisted IoT working model. Although this paradigm delivers unique features and an improved quality of service (QoS), installing IoT applications at LoRa gateways with limited computing and memory capabilities presents considerable obstacles. This article proposes the design and implementation of an “EC-assisted LoRa gateway” using edge computing. Our proposed latency-aware algorithm (LAA) can greatly improve the reliability of the network system by using a distributed edge computing network technology that can achieve maintenance operations, such as detection, repair, and replacement of failures of edge nodes in the network. Then, an EC-assisted LoRa gateway prototype was developed on an embedded hardware system. Finally, experiments were conducted to evaluate the performance of the proposed EC-assisted LoRa gateway. Compared with the conventional LoRa gateway, the proposed edge intelligent LoRa gateway had 41.1% lower bandwidth utilization and handled more end devices, ensuring system availability and IoT network reliability more effectively. Full article
(This article belongs to the Special Issue Distributing Computing in Internet of Things)
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