Efficient Data Communication Using Distributed Ledger Technology and IOTA-Enabled Internet of Things for a Future Machine-to-Machine Economy.

DLT IOTA IoT blockchain communication privacy scalability security

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
25 Jun 2021
Historique:
received: 15 05 2021
revised: 12 06 2021
accepted: 21 06 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 3 7 2021
Statut: epublish

Résumé

A potential rise in interest in the Internet of Things in the upcoming years is expected in the fields of healthcare, supply chain, logistics, industries, smart cities, smart homes, cyber physical systems, etc. This paper discloses the fusion of the Internet of Things (IoT) with the so-called "distributed ledger technology" (DLT). IoT sensors like temperature sensors, motion sensors, GPS or connected devices convey the activity of the environment. Sensor information acquired by such IoT devices are then stored in a blockchain. Data on a blockchain remains immutable however its scalability still remains a challenging issue and thus represents a hindrance for its mass adoption in the IoT. Here a communication system based on IOTA and DLT is discussed with a systematic architecture for IoT devices and a future machine-to-machine (M2M) economy. The data communication between IoT devices is analyzed using multiple use cases such as sending DHT-11 sensor data to the IOTA tangle. The value communication is analyzed using a novel "micro-payment enabled over the top" (MP-OTT) streaming platform that is based on the "pay-as-you-go" and "consumption based" models to showcase IOTA value transactions. In this paper, we propose an enhancement to the classical "masked authenticated message" (MAM) communication protocol and two architectures called dual signature masked authenticated message (DSMAM) and index-based address value transaction (IBAVT). Further, we provided an empirical analysis and discussion of the proposed techniques. The implemented solution provides better address management with secured sharing and communication of IoT data, complete access control over the ownership of data and high scalability in terms of number of transactions that can be handled.

Identifiants

pubmed: 34202173
pii: s21134354
doi: 10.3390/s21134354
pmc: PMC8271827
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Stud Health Technol Inform. 2021 May 7;279:130-135
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pubmed: 32375374
PeerJ Comput Sci. 2021 Jun 1;7:e566
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pubmed: 30082633

Auteurs

Mohd Majid Akhtar (MM)

Department of Computer Engineering, Jamia Millia Islamia, New Delhi 110025, India.

Danish Raza Rizvi (DR)

Department of Computer Engineering, Jamia Millia Islamia, New Delhi 110025, India.

Mohd Abdul Ahad (MA)

Department of Computer Science and Engineering, Jamia Hamdard, New Delhi 110062, India.

Salil S Kanhere (SS)

School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia.

Mohammad Amjad (M)

Department of Computer Engineering, Jamia Millia Islamia, New Delhi 110025, India.

Giuseppe Coviello (G)

Department of Electrical and Information Engineering, Polytechnic University of Bari, 70126 Bari, Italy.

Classifications MeSH