A Proposal to Store Remote Monitoring Sensor Data in a Distributed Manner, Using IOTA Streams and IPFS

Ali Amin Rezaei () and Jorge Marx Gómez ()
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Ali Amin Rezaei: Carl von Ossietzky Universität Oldenburg
Jorge Marx Gómez: Carl von Ossietzky Universität Oldenburg

A chapter in Smart and Secure Embedded and Mobile Systems, 2024, pp 495-504 from Springer

Abstract: Abstract Since the advent of the introduction of blockchain technology, there has been extensive research and discussion on the use cases of applying DLT. Numerous researches have shown the healthcare sector as one of the sectors that can gain benefit from applying distributed ledger technology. The healthcare concept leads toward perfection by the increase of the care volume that the patient becomes. The care volume in clinical term can be interpreted as remaining under monitoring. However, because of the limited resources, the monitoring volume that can be applied is limited. Using IoT sensors can reduce the load of monitoring. However, there are various approaches to manage these sensor values data. The proposed architecture in this chapter suggests a novel approach toward storing sensor data in a distributed manner that uses IOTA Streams to issue access control to the data stored on OrbitDB IPFS-based database.

Keywords: Remote patient monitoring; IOTA; IoHT; OrbitDB (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-56603-5_41

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DOI: 10.1007/978-3-031-56603-5_41

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