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This article presents the scope of wireless sensor networks (WSNs) and machine learning (ML) to revolutionize military surveillance, enhancing anomaly detection and threat identification. Through advanced ML algorithms, our system optimizes data acquisition, empowering real-time analysis of complex military landscapes. This cutting-edge solution ensures heightened situational awareness, bolstering security and enabling timely responses to potential threats. The fusion of WSN and ML capabilities propels military surveillance into a new era of precision, efficiency, and strategic preparedness.

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Enhancing Military Surveillance Through WSN-Machine Learning Fusion for Anomaly Detection and Threat Identification

  • 会议论文

  • 发表日期：

    2025年

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  • Mruthyunjayam Allakonda,
  • Gujjula Anjareddy,
  • Bimmarolu Shanthi,
  • Renuka Kuntala,
  • K. Venkata Balamurali Krishna,
  • Peddi Niranjan Reddy

摘要

This article presents the scope of wireless sensor networks (WSNs) and machine learning (ML) to revolutionize military surveillance, enhancing anomaly detection and threat identification. Through advanced ML algorithms, our system optimizes data acquisition, empowering real-time analysis of complex military landscapes. This cutting-edge solution ensures heightened situational awareness, bolstering security and enabling timely responses to potential threats. The fusion of WSN and ML capabilities propels military surveillance into a new era of precision, efficiency, and strategic preparedness.