Abstract

Recent years have witnessed the advancement of the Internet of Things (IoT) and its emergence as a technology that could revolutionize many businesses. It helps considerably in creating data-driven business models with the insights it provides. IoT systems are deployed in data collection, monitor processes, provide insights and allow businesses to make data-driven productivity improvements. However, IoT systems are often experiencing data loss due to inevitable failures ranging from devices, networks, to the application layer, especially in scarce infrastructure resources environments. Data loss might be unrecoverable in many circumstances. As such, this research presents a blockchain based IoT model (framework) with the aim of circumventing data loss. We envisioned IoT blockchain technology in enhancing data veracity with data loss tolerance. That is, to have blockchain enhancing the IoT data veracity by leveraging on the features existed in its peer-to-peer network (P2P) and distributed ledger storage technology (DLT). Additionally, the edge computing of IoT blockchain technology is also conceptually workable; with intelligent small computing resources, it opens up a new era of bringing the intelligence of data collection, connectivity, computation and storage into the edge/device layer. A novel IoT blockchain strength monitoring system is also been studied to further enhance data veracity; this is achieved through a capacitance monitoring on the IoT blockchain system. The empirical results show that the proposed IoT blockchain with a strength monitoring model can alleviate data loss and thus enhance data veracity with data loss tolerance.

Highlights

  • The Internet of Things (IoT) is a new paradigm that enables data-driven analysis in accomplishing productivity improvement in many businesses and industries

  • IoT blockchain strength monitoring can be based on its capacitance measurement

  • While many IoT systems are struggling with inevitable data loss, various technologies have been studied with regard to mitigating this data loss problem

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Summary

Introduction

The Internet of Things (IoT) is a new paradigm that enables data-driven analysis in accomplishing productivity improvement in many businesses and industries. IoT provides insights into processes, operations and revealing high yield contributing factors that lead to better productivity. IoT data-driven approaches utilize data in vital decision making, and enhance processes and operations to produce desired results. Advancement in IoT has provided great opportunities to transform many businesses into data-driven industries. Accurate IoT datadriven analysis can contribute to productivity improvement, as analysis provides insights to yield contributing factors, and productivity improvement is achieved by maximizing the favorable factors and minimizing the negative factors [1]. Data-driven approaches with IoT have gained wide adoption in unleashing insights and creating business advantages

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