What network quality metrics should I use for a crowdsourced mapping project?

What network quality metrics should I use for a crowdsourced mapping project? | Not Hacker News!

Seeking advice on network quality metrics for a crowdsourced mapping project

Synthesized Answer

Based on 1 community responses

For a crowdsourced mapping project, it's essential to monitor network quality to ensure accurate and reliable data collection. Key network quality metrics to consider include latency, packet loss, and throughput. You can leverage tools like ping tests, traceroute, and network monitoring software to collect these metrics. Additionally, consider implementing quality control measures such as data validation and contributor reputation systems to maintain data integrity.

Key Takeaways

Monitor latency, packet loss, and throughput
Use tools like ping tests and traceroute for data collection
Implement quality control measures like data validation and contributor reputation systems

Discussion (1 comments)

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banana423

about 1 month ago

I am working on a project that asks the question: “How does technological accessibility form intangible boundaries?” As part of this research, I am planning to create a network-quality-based technological map of the city (“techno-cartography”) as an experimental case study.

The project aims to visualise the geographic boundaries produced by technological infrastructure and to make these boundaries perceptible to people in their everyday lives. Participants will reconstruct the network quality of their own locations onto the city map, generating a new kind of topography. Through this, users will be able to sensitively understand the technological strata they belong to, identify points of exclusion based on these metrics, and gain grounds to raise questions about structural inequalities. To design and implement this, I would like to ask for your expert advice on several points:

Which metrics should be collected to represent “network quality” as objectively as possible?

What would be a realistic methodology for crowdsourcing this data?

How can we reduce variation and bias in crowdsourced measurements?

What kinds of technical, physical, and ethical risks should I anticipate?

Other technical advice or open-source references

More technical details and full context are available on my GitHub.

https://github.com/banana42311/Technological-topography

If you're interested, please check the repository here thanks!

View on Hacker NewsHN ID: 46140087Classification: qa

What network quality metrics should I use for a crowdsourced mapping project?

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