COMP4336/9336 Mobile Data Networking: 2023 Term 3
Individual Term Project/Assignment
Weighting: 25%
Due: 5pm Fri 13 Oct (Phase 1) and 5pm Fri 10 Nov (Phase 2)
Project Conditions
• This is an individual assignment. The work you submit must be entirely your own work.
Submission of work even partly written by any other person or AI is not permitted.
• Do not provide or show your assignment work to any other person, other than the teaching staff of
COMP4336/9336.
• Do not publish your assignment solution (data/code) via the Internet. For example, do not place
your assignment in a public GitHub repository. Sharing, publishing, or distributing your
assignment work even after the completion of COMP4336/9336 is not permitted.
Violation of any of the above conditions may result in an academic integrity investigation, with possible
penalties up to and including a mark of ZERO in COMP4336/9336, and exclusion from future studies at
UNSW.
Project Topic: WiFi Data Analysis and Optimisation
Project Specification
Objective: The objective of this term project is to leverage data collected from your university's campus-
wide Wi-Fi network to identify inefficiencies or issues, propose effective solutions, and demonstrate their
rectification through analysis or simulation. This project aims to enhance the overall performance and
user experience of your campus Wi-Fi infrastructure.
Project Description: In this project, you will have the opportunity to work with real-world data from
your university's Wi-Fi network. You will collect and analyse this data to identify potential problems or
areas of inefficiency within the network. Subsequently, you will propose solutions to address these issues,
and your proposals should be based on sound technical and data-driven reasoning.
Project Phases
The project will be completed in TWO phases.
Phase 1: Individual Data Collection
• Using your own mobile devices, gather data from parts of the campus Wi-Fi network, including
but not limited to signal strength, connectivity, and available data rates at different locations and
times.
• Clean, pre-process, and organize the data for analysis and submit the processed data to be
aggregated later in a central data repository (CDR). The CDR will provide a rich dataset for the
campus WiFi network, useful for subsequent analysis in Phase 2 of the project.
Phase 2: Data Analysis and WiFi Network Optimisation
• Perform a comprehensive analysis of the data available from CDR to identify any problems or
inefficiencies in the campus Wi-Fi network. Use data visualization to aid in your analysis.
• Based on your analysis, propose solutions to address the identified problems or inefficiencies.
Ensure that your proposals are technically sound and backed by evidence from your data analysis.
• Demonstrate the effectiveness of your proposed solutions using simulations or analysis. Compare
the performance of the network before and after implementing your solutions.
Deliverables (Phase 1)
• Processed data collected from the campus WiFi network.
• A well-documented report detailing your data collection process, including details of any code
written to capture data, and a summary of the data submitted for inclusion in the CDR.
Deliverables (Phase 2)
• A well-documented report detailing the methodology, including the description of any code or
scripts, used for the data analysis, the findings from the data analysis, proposed solutions, and the
results of your simulations or analyses.
• A short video presentation summarizing your findings and showcasing the effectiveness of your
proposed solutions.
Assessment Criteria
You will be evaluated based on the following criteria:
• The volume, depth, and coverage (spatio-temporal) of your data collection
• The depth and accuracy of your data analysis.
• The feasibility and effectiveness of your proposed solutions.
• The quality of your simulation or analysis to demonstrate the impact of your solutions.
• The clarity and organization of your report and (video) presentation.
• Adherence to project timelines and deadlines.
Important Notes
• You are encouraged to seek guidance from your tutor throughout the project. You can use the Ed
forums and the dedicated consultations provided by the tutors.
• Maintain ethical standards and respect user privacy while collecting WiFi data. Limit your data
collection to data that do not have any user privacy issues associated with it.
• Late penalties will apply at the rate of 5% per day late for each phase.
Timeline
• Week 2: Project specification released by the end of Week 2.
• Weeks 3-5: Students complete data collection and submit Phase 1 deliverables by 5pm Fri 13 Oct.
• Week 6: Tutors mark Phase 1 submissions and release the CDR by the end of Week 6.
• Weeks 7-9: Students analyse data in CDR and submit Phase 2 deliverables by 5pm Fri 10 Nov.
• Weeks 10-11: Tutors mark Phase 2 submissions and release marks by the end of Week 11.
Marking Rubric
Part 1 and Part 2 will be worth 10 marks and 15 marks, respectively.
End of Project Specification