- Title
- Blockchain leveraged decentralized IoT eHealth framework
- Creator
- Uddin, Ashraf; Stranieri, Andrew; Gondal, Iqbal; Balasubramanian, Venki
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/172574
- Identifier
- vital:14534
- Identifier
- ISBN:2542-6605
- Identifier
-
https://doi.org/10.1016/j.iot.2020.100159
- Abstract
- Blockchain technologies recently emerging for eHealth, can facilitate a secure, decentral- ized and patient-driven, record management system. However, Blockchain technologies cannot accommodate the storage of data generated from IoT devices in remote patient management (RPM) settings as this application requires a fast consensus mechanism, care- ful management of keys and enhanced protocols for privacy. In this paper, we propose a Blockchain leveraged decentralized eHealth architecture which comprises three layers: (1) The Sensing layer –Body Area Sensor Networks include medical sensors typically on or in a patient body transmitting data to a smartphone. (2) The NEAR processing layer –Edge Networks consist of devices at one hop from data sensing IoT devices. (3) The FAR pro- cessing layer –Core Networks comprise Cloud or other high computing servers). A Patient Agent (PA) software replicated on the three layers processes medical data to ensure reli- able, secure and private communication. The PA executes a lightweight Blockchain consen- sus mechanism and utilizes a Blockchain leveraged task-offloading algorithm to ensure pa- tient’s privacy while outsourcing tasks. Performance analysis of the decentralized eHealth architecture has been conducted to demonstrate the feasibility of the system in the pro- cessing and storage of RPM data.
- Publisher
- Elsevier
- Relation
- Internet of Things Vol. 9, no. March 2020 p. 100159
- Rights
- Copyright Elsevier
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Internet of Things; Blockchain; Consensus mechanism; Proof of stake; Patient agent; Fog computing; Edge computing; Cloud; Patient monitoring; eHealth; Fuzzy inference process; Task offloading; 0805 Distributed computing; 1005 Communications Technologies
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