Bandwidth-Constrained Sensor Scheduling: A Tradeoff Between Fairness and Efficiency
Abstract
We address fair sensor scheduling over bandwidth-constrained communication channels. While existing literature on fair scheduling overlooks overall system efficiency, we introduce a novel $q$-fairness framework to balance efficiency and fairness by adjusting the parameter $q$. Specifically, for two communication scenarios, we: (i) derive the optimal schedule under limited communication rates, and (ii) propose two suboptimal algorithms under limited simultaneous sensor transmissions and analyze their performance gaps relative to the optimal strategy. Simulations demonstrate that our algorithms effectively balance efficiency and fairness in both cases.
Fields of Study & Subjects
Stability and Control of Uncertain Systems
Age of Information Optimization
Distributed Sensor Networks and Detection Algorithms
Publication details
- Journal / source
- IEEE Transactions on Automatic Control
- Volume
- 71
- Issue
- 6
- Pages
- 4168–4175
- Publication date
- 12 January 2026
- Language
- EN