# Improved Approximation of Sensor Network Performance for Seabed Acoustic Sensors

arXiv: https://arxiv.org/abs/2505.00804 · HTML: https://mlsanity.com/paper/2505.00804/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 May 2025.

## Built on by (most cited first, 1 of 1)

- [Outlier Detection of Poisson-Distributed Targets Using a Seabed Sensor Network](https://mlsanity.com/paper/2508.13099/) (2025)

## Abstract (arXiv)

Sensor locations to detect Poisson-distributed targets, such as seabed sensors that detect shipping traffic, can be selected to maximize the so-called void probability, which is the probability of detecting all targets. Because evaluation of void probability is computationally expensive, we propose a new approximation of void probability that can greatly reduce the computational cost of selecting locations for a network of sensors. We build upon prior work that approximates void probability using Jensen's inequality. Our new approach better accommodates uncertainty in the (Poisson) target model and yields a sharper error bound. The proposed method is evaluated using historical ship traffic data from the Hampton Roads Channel, Virginia, demonstrating a reduction in the approximation error compared to the previous approach. The results validate the effectiveness of the improved approximation for maritime surveillance applications.