Research and Design of a Decentralized Edge-Computing-Assisted LoRa Gateway

Han Gao, Zhangqin Huang (), Xiaobo Zhang and Huapeng Yang
Additional contact information
Han Gao: Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China
Zhangqin Huang: Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China
Xiaobo Zhang: Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China
Huapeng Yang: Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100124, China

Future Internet, 2023, vol. 15, issue 6, 1-14

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 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.

Keywords: LoRa gateway; edge computing network; internet of things; embedded system; distributed computing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/15/6/194/pdf (application/pdf)
https://www.mdpi.com/1999-5903/15/6/194/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:15:y:2023:i:6:p:194-:d:1157728

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().