Distributed Ledger Technology (DLT) brings a set of opportunities for the Internet of Things (IoT), which leads to innovative solutions for existing components at all levels of existing architectures. IOTA Tangle has the potential to overcome current technical challenges identified for the IoT domain, such as data processing, infrastructure scalability, security, and privacy. Scaling is a serious challenge that influences the deployment of IoT applications. We propose a Scalable Distributed Intelligence Tangle-based approach (SDIT), which aims to address the scalability problem in IoT by adapting the IOTA Tangle architecture. It allows the seamless integration of new IoT devices across different applications. In addition, we describe an offloading mechanism to perform proof-of-work (PoW) computation in an energy-efficient way. A set of experiments has been conducted to prove the feasibility of the Tangle in achieving better scalability, while maintaining energy efficiency. The results indicate that our proposed solution provides highly-scalable and energy efficient transaction processing for IoT DLT applications, when compared with an existing DAG-based distributed ledger approach.
|Title of host publication||Intelligent Computing|
|Subtitle of host publication||Proceedings of the 2020 Computing Conference|
|Number of pages||16|
|Publication status||Accepted/In press - 31 Oct 2019|
|Event||Computing Conference 2020 - London, United Kingdom|
Duration: 16 Jul 2020 → 17 Jul 2020
|Name||Advances in Intelligent Systems and Computing|
|Conference||Computing Conference 2020|
|Period||16/07/20 → 17/07/20|
Alsboui, T., Qin, Y., Hill, R., & Al-Aqrabi, H. (Accepted/In press). Towards Building a Scalable Tangle-Based Distributed Intelligence Approach for the Internet of Things. In Intelligent Computing: Proceedings of the 2020 Computing Conference (Advances in Intelligent Systems and Computing). Springer Verlag.