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Wildland–urban interface sensing and sensor deployment
This work focused on resource-constrained sensing for wildfire detection and adaptation to environmental conditions. It remains useful as the earlier research context for the present program.
Earlier work + resources
Previous research and dated technical notes remain part of the record. Their status is made explicit so that useful material can stay accessible without competing with the current research.
Earlier research
The 2023 master’s work examined IoT sensor networks for wildfire detection in the wildland–urban interface, establishing the spatial sensing and deployment problems that later developed into adaptive sensing and belief-maintenance questions.
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This work focused on resource-constrained sensing for wildfire detection and adaptation to environmental conditions. It remains useful as the earlier research context for the present program.
Research context
The current research sits within a broader systems, networks, security, and emerging-wireless research environment at Dalhousie University, with additional collaboration through WIRE AI.
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The Faculty’s research area brings together work in networking, security, distributed systems, IoT, and related computational systems.
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Research context spanning emerging wireless technologies, IoT, security, reliability, resource management, and networked sensing.
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Archived technical notes
These pages record practical experience with specific software versions in 2024. They are preserved for provenance and possible practical value, but they are not maintained as current installation or usage guides.
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Installation, command-line use, examples, outputs, and practical notes from work with the Alpha 0.11 release.
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A short record of installation experience, simulation use, outputs, and links associated with BurnP3+ at that time.
Archive principle. Retaining an older page does not imply that its software instructions or project status remain current.
Current project documentation should be consulted before relying on an archived technical note.
Explore the research
Earlier work and archived resources provide provenance without competing with the current research program.