Visualizing Sensor Network Coverage with Location Uncertainty

TL;DR

This paper introduces an interactive visualization system that explores sensor network coverage considering location uncertainty, using topological data analysis to model and visualize the coverage with uncertain sensor positions.

Contribution

It presents a novel visualization tool that models sensor location uncertainty with topological methods, aiding in understanding network coverage.

Findings

Effective visualization of uncertain sensor coverage

Demonstrated tool on randomly distributed networks

Quantified uncertainty using topological data analysis

Abstract

We present an interactive visualization system for exploring the coverage in sensor networks with uncertain sensor locations. We consider a simple case of uncertainty where the location of each sensor is confined to a discrete number of points sampled uniformly at random from a region with a fixed radius. Employing techniques from topological data analysis, we model and visualize network coverage by quantifying the uncertainty defined on its simplicial complex representations. We demonstrate the capabilities and effectiveness of our tool via the exploration of randomly distributed sensor networks.