A prize-dependent loitering time approach to UAS routing: application to South China Sea maritime domain awareness

This article advances the geographic grid approach to military unmanned aircraft systems (UAS) routing featured in the existing literature. Its contributions are twofold. First, it demonstrates an empirical scoring system to determine the most important areas for maritime domain awareness-focused intelligence, surveillance, and reconnaissance collection, applying the method to the South China Sea. Second, it introduces what we call the “team orienteering problem with prize-dependent loitering times” (TOP-PDLT) and uses that model to identify optimal UAS collection routes in the South China Sea. Compared with other grid-based UAS routing schemes that use service time-dependent profits, TOP-PDLT is shown to be particularly applicable to military use-cases.

Authors

Institutions

Publication Details

Journal
The Journal of Defense Modeling and Simulation Applications Methodology Technology
Published
2025-02-03
DOI
https://doi.org/10.1177/15485129241312711
Citations
1
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A prize-dependent loitering time approach to UAS routing: application to South China Sea maritime domain awareness

Travis Sharp, Tim Sadov
1 citations
The Journal of Defense Modeling and Simulation Applications Methodology Technology
UAV Applications and Optimization
4.99
article

A prize-dependent loitering time approach to UAS routing: application to South China Sea maritime domain awareness

Travis Sharp, Tim Sadov
article en
1 citations

Abstract

This article advances the geographic grid approach to military unmanned aircraft systems (UAS) routing featured in the existing literature. Its contributions are twofold. First, it demonstrates an empirical scoring system to determine the most important areas for maritime domain awareness-focused intelligence, surveillance, and reconnaissance collection, applying the method to the South China Sea. Second, it introduces what we call the “team orienteering problem with prize-dependent loitering times” (TOP-PDLT) and uses that model to identify optimal UAS collection routes in the South China Sea. Compared with other grid-based UAS routing schemes that use service time-dependent profits, TOP-PDLT is shown to be particularly applicable to military use-cases.

The Journal of Defense Modeling and Simulation Applications Methodology Technology
Booz Allen Hamilton (United States) (US)
Openalex Percentile: Top 7%
UAV Applications and Optimization
4.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A prize-dependent loitering time approach to UAS routing: application to South China Sea maritime domain awareness — Travis Sharp, Tim Sadov · The Journal of Defense Modeling and Simulation Applications Methodology Technology (2025) | TGRS Research Map | TGRS