Intelligent IoT Application Scheduling

Time-Sensitive IoT Application Scheduling in Edge and Volunteer Computing Environment

Degree type

MRes/PhD

Closing date

10 October 2022

Campus

Hobart

Citizenship requirement

Domestic/International

About the research project

The Internet of Things (IoT) is a modern evolution of the Internet that incorporates IoT devices ranging from sensors to power meters, mobile phones, vehicles, and industrial machines [1]. Such IoT devices include microprocessors and communication modules that enable them to communicate, compute and exchange data. Recently several applications have been developed based on IoT data that require results to be produced within a time bound. Such applications are called Time-Sensitive IoT (TS-IoT) applications. For example, a vehicle accident prevention application is a TS-IoT application because it must analyse IoT data harvested from on-board and roadside cameras and sensors, compute the trajectories of all near-by vehicles and pedestrians, predict trajectory intersections and potential accidents, and then warn the relevant drivers in near real-time (e.g., by vibrating the driving wheel the within its 30ms time-bound). Meeting the time-bound requirements of TS-IoT applications is not a trivial task, because of the unique combination of the following challenges e.g. mobility of both sensors and users. Thus, requiring development of new resource provisioning and scheduling algorithms and platforms. This project aims to devise a novel Time-Bound Computing paradigm, which includes related techniques and a platform, ensuring that Time-Sensitive IoT (TS-IoT) Applications harvest and analyse IoT data within a specific time frame.

[1] D. Georgakopoulos, P. P. Jayaraman. Internet of things: from internet scale sensing to smart services. Computing 98:10, pp 1041-1058. Springer, October 2016.

Primary Supervisor

Meet Dr Saurabh Garg

Funding

Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $28,854 per annum (2022 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Eligibility

Applicants should review the Higher Degree by Research minimum entry requirements.

Additional eligibility criteria specific to this project/scholarship:

  • Student needs to be good in programming and should have expertise in distributed computing and networking
  • Applicants must be able to undertake the project on-campus

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Additional essential selection criteria specific to this project:

  • Advanced Software Development and Expertise in distributed systems

Application process

There is a three-step application process:

  1. Select your project, and check you meet the eligibility and selection criteria;
  2. Contact the Primary Supervisor, Dr Saurabh Garg to discuss your suitability and the project's requirements; and
  3. Submit an application by the closing date listed above.
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • As part of your application, you will be required to submit a covering letter, a CV including 2 x referees and your project research proposal.

Following the application closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.

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