Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications
The rapid evolution of technology allows the healthcare sector to adopt intelligent, context-aware, secure, and ubiquitous healthcare services. Together with the global trend of an aging population, it has become highly important to propose value-creating, yet cost-efficient digital solutions for he...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/7/2502 |
| _version_ | 1797538933572108288 |
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| author | Muneeb Ejaz Tanesh Kumar Ivana Kovacevic Mika Ylianttila Erkki Harjula |
| author_facet | Muneeb Ejaz Tanesh Kumar Ivana Kovacevic Mika Ylianttila Erkki Harjula |
| author_sort | Muneeb Ejaz |
| collection | DOAJ |
| description | The rapid evolution of technology allows the healthcare sector to adopt intelligent, context-aware, secure, and ubiquitous healthcare services. Together with the global trend of an aging population, it has become highly important to propose value-creating, yet cost-efficient digital solutions for healthcare systems. These solutions should provide effective means of healthcare services in both the hospital and home care scenarios. In this paper, we focused on the latter case, where the goal was to provide easy-to-use, reliable, and secure remote monitoring and aid for elderly persons at their home. We proposed a framework to integrate the capabilities of edge computing and blockchain technology to address some of the key requirements of smart remote healthcare systems, such as long operating times, low cost, resilience to network problems, security, and trust in highly dynamic network conditions. In order to assess the feasibility of our approach, we evaluated the performance of our framework in terms of latency, power consumption, network utilization, and computational load, compared to a scenario where no blockchain was used. |
| first_indexed | 2024-03-10T12:38:13Z |
| format | Article |
| id | doaj.art-f679df4147f24637bad5b39a02a20b41 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:38:13Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f679df4147f24637bad5b39a02a20b412023-11-21T14:07:17ZengMDPI AGSensors1424-82202021-04-01217250210.3390/s21072502Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare ApplicationsMuneeb Ejaz0Tanesh Kumar1Ivana Kovacevic2Mika Ylianttila3Erkki Harjula4Erkki Koiso-Kanttilan Katu 3, University of Oulu, Linnanmaa, 90570 Oulu, FinlandErkki Koiso-Kanttilan Katu 3, University of Oulu, Linnanmaa, 90570 Oulu, FinlandErkki Koiso-Kanttilan Katu 3, University of Oulu, Linnanmaa, 90570 Oulu, FinlandErkki Koiso-Kanttilan Katu 3, University of Oulu, Linnanmaa, 90570 Oulu, FinlandErkki Koiso-Kanttilan Katu 3, University of Oulu, Linnanmaa, 90570 Oulu, FinlandThe rapid evolution of technology allows the healthcare sector to adopt intelligent, context-aware, secure, and ubiquitous healthcare services. Together with the global trend of an aging population, it has become highly important to propose value-creating, yet cost-efficient digital solutions for healthcare systems. These solutions should provide effective means of healthcare services in both the hospital and home care scenarios. In this paper, we focused on the latter case, where the goal was to provide easy-to-use, reliable, and secure remote monitoring and aid for elderly persons at their home. We proposed a framework to integrate the capabilities of edge computing and blockchain technology to address some of the key requirements of smart remote healthcare systems, such as long operating times, low cost, resilience to network problems, security, and trust in highly dynamic network conditions. In order to assess the feasibility of our approach, we evaluated the performance of our framework in terms of latency, power consumption, network utilization, and computational load, compared to a scenario where no blockchain was used.https://www.mdpi.com/1424-8220/21/7/2502IoThealthcareremote monitoringedge computingblockchainfog computing |
| spellingShingle | Muneeb Ejaz Tanesh Kumar Ivana Kovacevic Mika Ylianttila Erkki Harjula Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications Sensors IoT healthcare remote monitoring edge computing blockchain fog computing |
| title | Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications |
| title_full | Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications |
| title_fullStr | Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications |
| title_full_unstemmed | Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications |
| title_short | Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications |
| title_sort | health blockedge blockchain edge framework for reliable low latency digital healthcare applications |
| topic | IoT healthcare remote monitoring edge computing blockchain fog computing |
| url | https://www.mdpi.com/1424-8220/21/7/2502 |
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