An architecture for blockchain over edge-enabled IoT for smart circular cities

Authors: Damianou, A., Angelopoulos, K. and Katos, V.

http://eprints.bournemouth.ac.uk/32573/

Start date: 29 May 2019

Circular Economy is a novel economic model, where every ‘asset’ is not wasted but reused and upscaled. The Internet of Things-IoT paradigm can underpin the transition to a Circular Economy by enabling fine-grained and continuous asset tracking.

However, there are issues related to security and privacy of IoT devices that generate and handle sensitive and personal data. The use of Blockchain technology provides an answer to this issue, however, its application raises issues related to the highly-constrained nature of these networks. In this paper, Edge Computing is presented as a solution to this issue, providing a way in which Blockchain and Edge Computing can be used together to address the constrained nature of IoT. Furthermore, we present the challenges that this combination poses and the opportunities that it brings. We propose an architecture that decreases the IoT devices requirements for memory capacity and increases the overall performance. We also discuss the architecture design and the challenges that it has, comparing it to the traditional Blockchain architecture as well as an Edge Computing architecture for Mobile Blockchain. The paper closes with a discussion and future extensions of our work are presented, as well.

This data was imported from Scopus:

Authors: Damianou, A., Angelopoulos, C.M. and Katos, V.

http://eprints.bournemouth.ac.uk/32573/

Journal: Proceedings - 15th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2019

Pages: 465-472

ISBN: 9781728105703

DOI: 10.1109/DCOSS.2019.00092

© 2019 IEEE. Circular Economy is a novel economic model, where every 'asset' is not wasted but reused and upscaled. The Internet of Things-IoT paradigm can underpin the transition to a Circular Economy by enabling fine-grained and continuous asset tracking. However, there are issues related to security and privacy of IoT devices that generate and handle sensitive and personal data. The use of Blockchain technology provides an answer to this issue, however, its application raises issues related to the highly-constrained nature of these networks. In this paper, Edge Computing is presented as a solution to this issue, providing a way in which Blockchain and Edge Computing can be used together to address the constrained nature of IoT. Furthermore, we present the challenges that this combination poses and the opportunities that it brings. We propose an architecture that decreases the IoT devices requirements for memory capacity and increases the overall performance. We also discuss the architecture design and the challenges that it has, comparing it to the traditional Blockchain architecture as well as an Edge Computing architecture for Mobile Blockchain. The paper closes with a discussion and future extensions of our work are presented, as well.

This data was imported from Web of Science (Lite):

Authors: Damianou, A., Angelopoulos, C.M., Katos, V. and IEEE

http://eprints.bournemouth.ac.uk/32573/

Journal: 2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS)

Pages: 465-472

ISSN: 2325-2936

DOI: 10.1109/DCOSS.2019.00092

The data on this page was last updated at 05:12 on February 21, 2020.