Semantics-Aware Updates from Remote Energy Harvesting Devices to Interconnected LEO Satellites

TL;DR

This paper proposes a semantics-aware update policy for energy harvesting IoT devices communicating with LEO satellites, optimizing information freshness and energy efficiency by selectively transmitting relevant data.

Contribution

It introduces a stochastic model and optimization framework for VAoI that incorporates data semantics, a novel approach for energy-efficient satellite communication.

Findings

Reduces update frequency by skipping stale data

Significantly improves energy efficiency

Optimizes VAoI across satellite networks

Abstract

Providing timely and informative data in integrated terrestrial and non-terrestrial networks is critical as data volume grows while the resources available on devices remain limited. To address this, we adopt a semantics-aware approach to optimize the Version Age of Information (VAoI) in a status update system in which a remote Energy Harvesting (EH) Internet of Things (IoT) device samples data and transmits it to a network of interconnected Low Earth Orbit (LEO) satellites for dissemination and utilization. The optimal update policy is derived through stochastic modeling and optimization of the VAoI across the network. The results indicate that this policy reduces the frequency of updates by skipping stale or irrelevant data, significantly improving energy efficiency.