Tytuł:

Staying Hidden at Battlefields While Communicating via Unmanned Vehicles, Journal of Telecommunications and Information Technology, 2025, Special Issue

Tytuł publikacji grupowej:

2025, Special Issue, JTIT-artykuły

Autor:

Zientarski, Karol ; Muravytskyi, Mykyta ; Skos, Krzysztof ; Chełminiak, Kamil ; Kulakowski, Pawel

Temat i słowa kluczowe:

low probability detection ; MANET ; Prim algorithm ; RSSI ; UxV

Opis:

kwartalnik

Abstrakt:

History shows that information is one of the key factors in military conflicts. During military conflicts, there is a need to maintain a communication channel on the battlefield while staying hidden from the enemy. In this paper, we present a simulator that allows to use a communication network and minimize the risk of being detected by the enemy. The simulator, using the Prim algorithm and fine-tuning, shows how a mobile ad-hoc network established between soldiers with the aid of unmanned vehicles, i.e. drones, may become undetectable for the enemy by properly optimizing drone positions.

Numer:

Special Issue

Wydawca:

National Institute of Telecommunications

Data wydania:

2025, Special Issue

Typ zasobu:

artykuł

DOI:

10.26636/jtit.2025.FITCE2024.2086

eISSN:

on-line: ISSN 1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Licencja:

CC BY 4.0