Improved Approximation of Sensor Network Performance for Seabed Acoustic Sensors

Fuente: arXiv
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Main Authors: Kim, Mingyu, Stilwell, Daniel J., Yetkin, Harun, Jimenez, Jorge
Format: Preprint
Published: 2025
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author Kim, Mingyu
Stilwell, Daniel J.
Yetkin, Harun
Jimenez, Jorge
author_facet Kim, Mingyu
Stilwell, Daniel J.
Yetkin, Harun
Jimenez, Jorge
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_00804
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Improved Approximation of Sensor Network Performance for Seabed Acoustic Sensors
Kim, Mingyu
Stilwell, Daniel J.
Yetkin, Harun
Jimenez, Jorge
Robotics
Information Theory
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.
title Improved Approximation of Sensor Network Performance for Seabed Acoustic Sensors
topic Robotics
Information Theory
url https://arxiv.org/abs/2505.00804