Goal-Oriented Multiple Access Connectivity for Networked Intelligent Systems
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909223784284160 |
|---|---|
| author | Agheli, Pouya Pappas, Nikolaos Kountouris, Marios |
| author_facet | Agheli, Pouya Pappas, Nikolaos Kountouris, Marios |
| contents | We design a self-decision goal-oriented multiple access scheme, where sensing agents observe a common event and individually decide to communicate the event's attributes as updates to the monitoring agents, to satisfy a certain goal. Decisions are based on the usefulness of updates, generated under uniform, change- and semantics-aware acquisition, as well as statistics and updates of other agents. We obtain optimal activation probabilities and threshold criteria for decision-making under all schemes, maximizing a grade of effectiveness metric. Alongside studying the effect of different parameters on effectiveness, our simulation results show that the self-decision scheme may attain at least 92% of optimal performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_10614 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Goal-Oriented Multiple Access Connectivity for Networked Intelligent Systems Agheli, Pouya Pappas, Nikolaos Kountouris, Marios Information Theory Networking and Internet Architecture We design a self-decision goal-oriented multiple access scheme, where sensing agents observe a common event and individually decide to communicate the event's attributes as updates to the monitoring agents, to satisfy a certain goal. Decisions are based on the usefulness of updates, generated under uniform, change- and semantics-aware acquisition, as well as statistics and updates of other agents. We obtain optimal activation probabilities and threshold criteria for decision-making under all schemes, maximizing a grade of effectiveness metric. Alongside studying the effect of different parameters on effectiveness, our simulation results show that the self-decision scheme may attain at least 92% of optimal performance. |
| title | Goal-Oriented Multiple Access Connectivity for Networked Intelligent Systems |
| topic | Information Theory Networking and Internet Architecture |
| url | https://arxiv.org/abs/2401.10614 |