BEdgeHealth: A Decentralized Architecture for Edge-based IoMT Networks Using Blockchain
Not on the map. Why?
Abstract (arXiv)
The healthcare industry has witnessed significant transformations in e-health services by using mobile edge computing (MEC) and blockchain to facilitate healthcare operations. Many MEC-blockchain-based schemes have been proposed, but some critical technical challenges still remain, such as low quality of services (QoS), data privacy and system security vulnerabilities. In this paper, we propose a new decentralized health architecture, called BEdgeHealth that integrates MEC and blockchain for data offloading and data sharing in distributed hospital networks. First, a data offloading scheme is proposed where mobile devices can offload health data to a nearby MEC server for efficient computation with privacy awareness. Moreover, we design a data sharing scheme which enables data exchanges among healthcare users by leveraging blockchain and interplanetary file system. Particularly, a smart contract-based authentication mechanism is integrated with MEC to perform decentralized user access verification at the network edge without requiring any central authority. The real-world experiment results and evaluations demonstrate the effectiveness of the proposed BEdgeHealth architecture in terms of improved QoS with data privacy and security guarantees, compared to the existing schemes.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Sep 2021.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 0; 2025: 1.
4 papers.
- 2021Federated Learning for Smart Healthcare: A Surveycited by 182
- 2022Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directionscited by 34
- 2021Analysis and Evaluation of Synchronous and Asynchronous FLchaincited by 2
- 2025Design of an Edge-based Portable EHR System for Anemia Screening in Remote Health Applicationscited by 0
- 2025Design of an Edge-based Portable EHR System for Anemia Screening in Remote Health Applications20 Jul 2025
- 2022Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions5 Aug 2022
- 2021Analysis and Evaluation of Synchronous and Asynchronous FLchain15 Dec 2021
- 2021Federated Learning for Smart Healthcare: A Survey16 Nov 2021