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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Format: | Article |
Language: | English |
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MDPI AG
2022-09-01
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Series: | Journal of Sensor and Actuator Networks |
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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. |
first_indexed | 2024-03-09T23:27:24Z |
format | Article |
id | doaj.art-8122263608b54ec8a8c72d2a4bef6d8f |
institution | Directory Open Access Journal |
issn | 2224-2708 |
language | English |
last_indexed | 2024-03-09T23:27:24Z |
publishDate | 2022-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Sensor and Actuator Networks |
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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