Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-Case

The opportunistic fog radio access network (OF-RAN) expands its offloading computation capacity on-demand by establishing virtual fog access points (v-FAPs), comprising user devices with idle resources recruited opportunistically to execute the offloaded tasks in a distributed manner. OF-RAN is attr...

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Main Authors: Jofina Jijin, Boon-Chong Seet, Peter Han Joo Chong
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:https://www.mdpi.com/2224-2708/11/3/53
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author Jofina Jijin
Boon-Chong Seet
Peter Han Joo Chong
author_facet Jofina Jijin
Boon-Chong Seet
Peter Han Joo Chong
author_sort Jofina Jijin
collection DOAJ
description The opportunistic fog radio access network (OF-RAN) expands its offloading computation capacity on-demand by establishing virtual fog access points (v-FAPs), comprising user devices with idle resources recruited opportunistically to execute the offloaded tasks in a distributed manner. OF-RAN is attractive for providing computation offloading services to resource-limited Internet-of-Things (IoT) devices from vertical industrial applications such as smart transportation, tourism, mobile healthcare, and public safety. However, the current OF-RAN design is lacking a trusted and distributed mechanism for automating its processes such as v-FAP formation and service execution. Motivated by the recent emergence of blockchain, with smart contracts as an enabler of trusted and distributed systems, we propose an automated mechanism for OF-RAN processes using smart contracts. To demonstrate how our smart-contract-based automation for OF-RAN could apply in real life, a federated deep learning (DL) use-case where a resource-limited client offloads the resource-intensive training of its DL model to a v-FAP is implemented and evaluated. The results validate the DL and blockchain performances of the proposed smart-contract-enabled OF-RAN. The appropriate setting of process parameters to meet the often competing requirements is also demonstrated.
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spelling doaj.art-8122263608b54ec8a8c72d2a4bef6d8f2023-11-23T17:15:24ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082022-09-011135310.3390/jsan11030053Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-CaseJofina Jijin0Boon-Chong Seet1Peter Han Joo Chong2Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New ZealandDepartment of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New ZealandDepartment of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New ZealandThe opportunistic fog radio access network (OF-RAN) expands its offloading computation capacity on-demand by establishing virtual fog access points (v-FAPs), comprising user devices with idle resources recruited opportunistically to execute the offloaded tasks in a distributed manner. OF-RAN is attractive for providing computation offloading services to resource-limited Internet-of-Things (IoT) devices from vertical industrial applications such as smart transportation, tourism, mobile healthcare, and public safety. However, the current OF-RAN design is lacking a trusted and distributed mechanism for automating its processes such as v-FAP formation and service execution. Motivated by the recent emergence of blockchain, with smart contracts as an enabler of trusted and distributed systems, we propose an automated mechanism for OF-RAN processes using smart contracts. To demonstrate how our smart-contract-based automation for OF-RAN could apply in real life, a federated deep learning (DL) use-case where a resource-limited client offloads the resource-intensive training of its DL model to a v-FAP is implemented and evaluated. The results validate the DL and blockchain performances of the proposed smart-contract-enabled OF-RAN. The appropriate setting of process parameters to meet the often competing requirements is also demonstrated.https://www.mdpi.com/2224-2708/11/3/53smart contractautomationopportunistic fog radio access networkindustrial Internet-of-Thingsfederated deep learningblockchain
spellingShingle Jofina Jijin
Boon-Chong Seet
Peter Han Joo Chong
Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-Case
Journal of Sensor and Actuator Networks
smart contract
automation
opportunistic fog radio access network
industrial Internet-of-Things
federated deep learning
blockchain
title Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-Case
title_full Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-Case
title_fullStr Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-Case
title_full_unstemmed Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-Case
title_short Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-Case
title_sort smart contract based automation for of ran processes a federated learning use case
topic smart contract
automation
opportunistic fog radio access network
industrial Internet-of-Things
federated deep learning
blockchain
url https://www.mdpi.com/2224-2708/11/3/53
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AT boonchongseet smartcontractbasedautomationforofranprocessesafederatedlearningusecase
AT peterhanjoochong smartcontractbasedautomationforofranprocessesafederatedlearningusecase