Lattices of sensors reconsidered when less information is preferred
Yulin Zhang, Dylan A. Shell

TL;DR
This paper models sensors as covers within a semilattice structure to better handle sensing limitations, uncertainty, and privacy concerns, offering a new perspective on sensor organization.
Contribution
It introduces a novel semilattice framework for sensors modeled as covers, addressing issues of information conflation and privacy in sensing systems.
Findings
Provides a mathematical model for sensors as covers
Organizes sensors into a semilattice structure
Addresses privacy and uncertainty in sensing
Abstract
To treat sensing limitations (with uncertainty in both conflation of information and noise) we model sensors as covers. This leads to a semilattice organization of abstract sensors that is appropriate even when additional information is problematic (e.g., for tasks involving privacy considerations).
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Taxonomy
TopicsDistributed Sensor Networks and Detection Algorithms · Machine Learning and Algorithms · Optimization and Search Problems
