Information Freshness of Updates Sent over LEO Satellite Multi-Hop Networks

TL;DR

This paper analyzes the Age of Information in multi-hop LEO satellite networks, providing bounds and insights into optimizing information freshness amid packet losses and network load.

Contribution

It introduces a comprehensive model for AoI in multi-hop satellite networks, including bounds, approximations, and age-aware scheduling strategies, addressing complex trade-offs.

Findings

Optimal system load ensures fresh information at the receiver.

Critical links significantly impact overall AoI performance.

Age-aware scheduling improves fairness and efficiency.

Abstract

Low Earth Orbit (LEO) satellite constellations are bringing the Internet of Things (IoT) to the space arena, also known as non-terrestrial networks. Several IoT satellite applications for tracking ships and cargo can be seen as exemplary cases of intermittent transmission of updates whose main performance parameter is the information freshness. This paper analyzes the Age of Information (AoI) of a satellite network with multiple sources and destinations that are very distant and therefore require several consecutive multi-hop transmissions. A packet erasure channel and different queueing policies are considered. We provide closed-form bounds and tight approximations of the average AoI, as well as an upper bound of the Peak Age of Information (PAoI) distribution as a worst-case metric for the system design. The performance evaluation reveals complex trade-offs among age, load, and packet losses. The optimal operational point is found when the combination of arrival rates and packet losses is such that the system load can ensure fresh information at the receiver; nevertheless, achieving this is highly dependent on the mesh topology. Moreover, the potential of an age-aware scheduling strategy is investigated and the fairness among users discussed. The results show the need to identify the bottleneck nodes for the age, as improving the rate and reliability of those critical links will highly impact on the overall performance. The model is general enough to represent other multi-hop mesh networks.