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arXiv · 2505.00804

Improved Approximation of Sensor Network Performance for Seabed Acoustic Sensors

Mingyu Kim·Daniel J. Stilwell·Harun Yetkin·Jorge Jimenez
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Abstract

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.

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Mingyu Kim, Daniel J. Stilwell, Harun Yetkin, Jorge Jimenez. 2025-05-01. Improved Approximation of Sensor Network Performance for Seabed Acoustic Sensors. https://arxiv.org/abs/2505.00804

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