WCSE

A Large-scale LPWAN Architecture for Multimedia Data Collection in High-security Challenge Areas

Abstract— The Internet of Things (IoT) is rapidly expanding, including in conflict zones where security is critical. Sound signals used for intelligence in the Middle East, combined with Sahel challenges from poor infrastructure, emphasize the need for better data collection. This paper proposes a secure IoT architecture using Low Power Wide Area Network (LPWAN) technology and steganography to efficiently optimize sharing of critical information and enhance military operational efficiency. Based on surveys with military personnel and reviews of existing IoT methods, our solution leverages LPWAN’s range, low energy, and cost benefits to address security and resilience challenges in high-risk regions globally.

Index Terms— LPWAN, LoRaWAN, Architecture, Design, Terrorism, Steganography, Military.

OUATTARA Yacouba
Universite Joseph KI-ZERBO,BURKINA FASO
TRAORE Mamoutou, PODA Pasteur
Universite Nazi BONI, BURKINA FASO
TRAORE Mamoutou
Centre d’Excellence Interdisciplinaire en Intelligence Artificielle pour le Développement (CITADEL), BURKINA FASO

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Cite: OUATTARA Yacouba, TRAORE Mamoutou, PODA Pasteur, "A Large-scale LPWAN Architecture for Multimedia Data Collection in High-security Challenge Areas", 2025 the 15th International Workshop on Computer Science and Engineering (WCSE 2025), pp. 235-244, Jeju Island, South Korea, June 28-30, 2025.