arXiv (All)
open access
Resource-Constrained Semantic-Aware Remote Estimation with Overlapping Sensor Coverage
We study semantic-aware remote estimation of multiple finite-state Markov sources observed by K sensors with overlapping coverage. The sensors share a time-division multiple-access uplink and differ in transmission reliability, delivery delay, and transmission budget. In each slot, the scheduler joi
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LEMONS: Leveraging Model-Based Techniques to Enable Non-Intrusive Semantic Enrichment in Wireless Sensor Networks#622491
- Task-Oriented Semantic Feature Transmission for Multi-Task Satellite Remote Sensing over Low-SNR Channels#1033923
- TA-BI: A Formal Observation-to-Decision Architecture for Trust-Aware Routing Support in Wireless and Mobile Wireless Sensor Networks.#796667
- Energy-aware latency minimization in multi-source spatiotemporal data fusion for IoT networks.#263250
- Where Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum#1012479
Record · ID 984477
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive