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Jamming attacks threaten the reliability and energy efficiency of WSNs (Wireless Sensor Networks), affecting critical applications like healthcare, smart cities, and industrial systems. This paper proposes a novel mitigation algorithm that combines dynamic clustering, adaptive routing, and power control to ensure stability under jamming. Unlike prior work, it offers real-time scalability and robustness. Tested in simulations and real deployments with Zigbee sensors, the solution achieved up to 85% resilience, 30% lower delay, and a 33% increase in PDR (Packet Delivery Ratio).

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Dynamic Jamming Mitigation in Wireless Sensor Networks: A Comprehensive Algorithm for Resilience and Efficiency

  • 会议论文

  • 发表日期：

    2026年

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  • Carolina Del-Valle-Soto,
  • Leonardo J. Valdivia,
  • Yehoshua Aguilar-Molina,
  • Ramiro Velázquez

摘要

Jamming attacks threaten the reliability and energy efficiency of WSNs (Wireless Sensor Networks), affecting critical applications like healthcare, smart cities, and industrial systems. This paper proposes a novel mitigation algorithm that combines dynamic clustering, adaptive routing, and power control to ensure stability under jamming. Unlike prior work, it offers real-time scalability and robustness. Tested in simulations and real deployments with Zigbee sensors, the solution achieved up to 85% resilience, 30% lower delay, and a 33% increase in PDR (Packet Delivery Ratio).