Semantic Filtering and Source Coding in Distributed Wireless Monitoring Systems

The problem of goal-oriented semantic filtering and timely source coding in multiuser communication systems is considered here. We study a distributed monitoring system in which multiple information sources, each observing a physical process, provide status update packets to multiple monitors having...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on communications Ročník 72; číslo 6; s. 3290 - 3304
Hlavní autori: Agheli, Pouya, Pappas, Nikolaos, Kountouris, Marios
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.06.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Predmet:
Codes
Coding
Communications systems
Computer Science
Design parameters
distributed monitoring systems
Error correction
Filtration
Goal-oriented semantic communication
Information sources
Monitoring
Monitors
Packets (communication)
Performance evaluation
Protocols
semantic filtering
Semantics
Source coding
timely source coding
Transmitters
Performance evaluation
Protocols
Transmitters
Source coding
timely source coding
Semantics
distributed monitoring systems
Goal-oriented semantic communication
Error correction
semantic filtering
Monitoring
ISSN:0090-6778, 1558-0857, 1558-0857
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:The problem of goal-oriented semantic filtering and timely source coding in multiuser communication systems is considered here. We study a distributed monitoring system in which multiple information sources, each observing a physical process, provide status update packets to multiple monitors having heterogeneous goals. Two semantic filtering schemes are first proposed as a means to admit or drop arrival packets based on their goal-dependent importance, which is a function of the intrinsic and extrinsic attributes of information and the probability of occurrence of each realization. Admitted packets at each sensor are then encoded and transmitted over block-fading wireless channels so that served monitors can timely fulfill their goals. A truncated error control scheme is derived, which allows transmitters to drop or retransmit undelivered packets based on their significance. Then, we formulate the timely source encoding optimization problem and analytically derive the optimal codeword lengths assigned to the admitted packets which maximize a weighted sum of semantic utility functions for all pairs of communicating sensors and monitors. Our analytical and numerical results provide the optimal design parameters for different arrival rates and highlight the improvement in timely status update delivery using the proposed semantic filtering, source coding, and error control schemes.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0090-6778
1558-0857
1558-0857
DOI:10.1109/TCOMM.2024.3362951