Project Presentation Notes
30 likes | 121 Vues
Addressing the challenge of optimizing sensor monitoring systems through hierarchical sampling, adjusting sampling rates dynamically, and utilizing user-state analysis for efficient data collection. Explore new ideas to improve scanning efficiency and reduce wasteful monitoring. Compare existing solutions and propose innovative approaches for enhanced sensor management.
Project Presentation Notes
E N D
Presentation Transcript
Project Presentation Notes • Problem Statement: • High level statement • Sub-problems • Existing solutions, drawbacks, challenges • Approach, promising new ideas (contributions) • Design rationale, comparing/contrasting alternatives and tradeoffs • Details of protocols & services • Evaluation details (as applicable) • Math analysis – simulations – implementation • Initial results and findings (if applicable)
Project-related note: Scanning, sensing efficiency • On monitoring of sensors (e.g., accelerometers, or others, location, bluetooth,…): • 1- continuous monitoring is wasteful and may not be needed always • 2- a constant rate of sampling may not be needed, and an adaptive/adjustable rate may be better (how to adjust and which rates/thresholds to use is a challenge and could be a design element in your project) • [check the efficient scanning mode in iTrust and the paper to see how Udayan approached it... but that's not the only way to do it] • 3- one can employ a hierarchical sampling approach, where you start with coarse grained sensing, and if/once you sense something 'potentially' interesting, then you turn on a finer (higher fidelity) sampling • 4- one can use the state of the user/patient and make use of high level constraints and domain-specific knowledge to guide the sampling to be efficient yet effective (e.g., getting location estimates without new GPS or other scanning by estimating speed, using a finite state machine for the activity of the patient,... etc.). • 5- one can employ a learning algorithm to adjust the parameter settings based on the patients feedback and or information.