INTERNET OF THINGS Research Projects

Ongoing research projects

INDUSTRY 4.0

Development and Trial of an IoT solution for Labelling Consistency and Integrity in Meat Export Supply Chains

Research, develop, test, and trial a low-cost labelling solution to address the issue of labelling inconsistencies to

    • provide verifiable and traceable packaging information of meat products in the box

    • mismatches happens between products, product labels, and box labels

Funded by Australian Meat Processing Corporation

Industry 4.0 solution for Dealing with Variation in Vegemite Product Quality

Research, develop, test, and trial a solution to address product quality issues in production of Vegemite:

    • Reduce the waste and reprocessing of the raw materials to produce the Vegemite product

    • Enable complete automation of these

    • Predict machine settings and related operator actions to ensure product consistency

Funded by Bega Cheese

CRC-P : Live Inbound Milk Supply Chain Monitoring System

Research and Development of a Live inbound Milk Supply Chain Monitoring Solution for:

    • Real-time milk pick-up logistics

    • Highly accurate in-bound milk forecasting

    • Just-in-time milk delivery to processing plants

    • Real-time milk monitoring in the plant

Funded by CRC-P (https://www.business.gov.au/grants-and-programs/cooperative-research-centres-projects-crcp-grants)

Partners: Bega Cheese, Optus, Software AG

Real-time Internet of Things

Adaptive, Effective and Scalable techniques for managing Time-Sensitive Internet of Things Applications

Devise novel techniques to manage TS-IoT applications in a way their time-bound requirements are fulfilled and incorporate the techniques into a platform and evaluate their ability to meet the time-bound requirements of such applications.

Published Papers

Korala, H., Jayaraman, P.P., Yavari, A., and Georgakopoulos, D., 2020. APOLLO: A Platform for Experimental Analysis of Time Sensitive Multimedia IoT Applications. In Proceedings of the 18th International Conference on Advances in Mobile Computing and Multimedia (MoMM ’20), (pp. 104 -113), Chiang Mai, Thailand. https://doi.org/10.1145/3428690.3429176.

Korala, H., Yavari, A., Georgakopoulos, D., Jayaraman, P.P, 2020. Design and Implementation of a Platform for Managing Time-Sensitive IoT Applications. In Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing (CIC), (pp. 44-53), Atlanta, USA. https://doi.org/10.1109/CIC50333.2020.00016.

Korala, H., Georgakopoulos, D., Yavari, A., Jayaraman, P.P, 2021. A Time-Sensitive IoT Data Analysis Framework. In Proceedings of the 54th Hawaii International Conference on System Sciences, (pp. 7185 -7194), Hawaii, USA. https://doi.org/10.24251/HICSS.2021.865– Nominated for the Best Paper Award under Software Technology track.

Digital Twins

CYBER TWINS FOR DEVELOPING INDUSTRY 4.0 APPLICATIONS

Propose, design, implement, evaluate and validate a Cyber-Twins based programming framework to support the development of Industry 4.0 applications.

Published Papers

Bamunuarachchi. D, Banerjee. A, Jayaraman. P.P, and Georgakopoulos. D. 2020. Cyber twins supporting industry 4.0 application development. In Proceedings of the 18th International Conference on Advances in Mobile Computing & Multimedia (MoMM '20). Association for Computing Machinery, New York, NY, USA, 64–73. DOI:https://doi.org/10.1145/3428690.3429177

Digital Twins in Healthcare

Exploring the opportunity for applying digital twins in the healthcare context is an emerging research area that has the potential to support more personalised care. A recognised aspect in cancer care is the need for more personalised treatment planning to complement the recent advances in precision medicine. This work is one of the first attempts to use digital twins in this capacity and represents an amalgamation of three key domains: clinical, digital health and computer science respectively.

Published Papers

Wickramasinghe N, Jayaraman PP, Zelcer J, Forkan AR, Ulapane N, Kaul R, Vaughan S. A Vision for Leveraging the Concept of Digital Twins to Support the Provision of Personalised Cancer Care. IEEE Internet Computing. 2021 Mar 11.

Blockchain Internet of Things

Blockchain-based IoT device discovery, integration and authentication

Semantic IoT Blockchain that designed specifically for IoT devices that integrates:

  • SSN Ontology

  • Marketplace to provide services for clients

  • Universal IoT devices discovery engine

  • Registration tool for IoT devices

  • Semantic query engine

  • Universal Integration solution


Published Papers

Dawod, A., Georgakopoulos, D., Jayaraman, P.P. & Nirmalathas, A. 2020, ‘An IoT-owned service for global IoT device discovery, integration and (Re)use’, Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020, pp. 312-320

Dawod, A., Georgakopoulos, D., Jayaraman, P.P. & Nirmalathas, A. 2019, ‘Advancements towards Global IoT device discovery and integration’, Proceedings - 2019 IEEE International Congress on Internet of Things, ICIOT 2019 - Part of the 2019 IEEE World Congress on Services, pp. 147-155

past research projects

Open Source Cloud Solution for Internet of Things

OpenIoT is an open source middleware for getting information from sensor clouds, without worrying what exact sensors are used. Read more about the project and Internet-of-Things technologies. Largely discussed, the Internet-of-Things (IoT) will be an integral component of the Future Internet (FI) and therefore should be smoothly integrated within FI service delivery models and the emerging utility based cloud computing paradigms.

OpenIoT investigates the efficient ways to formulate and manage IoT cloud-based environments i.e. environments comprising IoT “entities” and resources (such as sensors, actuators and smart devices) running on the cloud and offering utility-based (i.e. pay-as-you-go) IoT services.OpenIoT is perceived as a natural extension to cloud computing implementations, which will allow access to additional and increasingly important IoT based resources and capabilities. In particular, OpenIoT researches and provide the means for formulating and managing environments comprising IoT resources, which can deliver on-demand utility IoT services such as sensing as a service as an example, in multiple domains.

OpenIoT is pertinent to a wide range of interrelated scientific and technological areas spanning: (a) Middleware for sensors and sensor networks, (b) Ontologies, semantic models and annotations for representing internet-connected objects, along with semantic open-linked data techniques (c) Cloud/Utility computing, including utility based security and privacy schemes.

More information about the project: http://openiot.eu/

Open source code repository: https://github.com/OpenIotOrg/openiot


Privacy Preserving Internet of Things

Security models for data collection, access and analysis in an IoT platform that incorporates n data stores (where n  2) in different servers or cloud providers

Data access control scheme uses a homomorphic encryption



Publications

Prem Prakash Jayaraman, Xuechao Yang, Ali Yavari, Dimitrios Georgakopoulos, and Xun Yi. 2017. Privacy preserving Internet of Things. Future Gener. Comput. Syst. 76, C (November 2017), 540-549. DOI: https://doi.org/10.1016/j.future.2017.03.001