Quantifying Spatiotemporal Stability by means of Entropy: Approach and Motivations

TL;DR

This paper introduces a new entropy-based metric to quantify the spatiotemporal stability of wireless network links, leveraging spatial, temporal, and sampling efficiency properties to improve network understanding.

Contribution

It proposes a novel entropy measure that captures link stability in wireless networks, integrating spatial, temporal, and sampling aspects for better network analysis.

Findings

New entropy measure effectively quantifies link stability.

Method improves understanding of wireless network dynamics.

Potential to enhance routing strategies using stability metrics.

Abstract

Several studies demonstrate that there are critical differences between real wireless networks and simulation models. This finding has permitted to extract spatial and temporal properties for links and to provide efficient methods as biased link sampling to guarantee efficient routing structure. Other works have focused on computing metrics to improve routing, specially the reuse of the measure of entropy. From there, rises the idea of formulating a new measure of entropy that gives an overview of the spatiotemporal stability of a link. This measure will rely on spatial and temporal properties of links and fed with the efficiency of biased link sampling.