The integration of wireless radio interfaces into everyday objects has led to the rapid growth of wireless networks, particularly within the Internet of Things (IoT). This expansion, however, introduces challenges such as cross-technology interference (CTI) and insufficient coexistence among various wireless standards operating in the same frequency bands. This paper proposes a novel solution to enhance the robustness and coexistence of wireless networks through the concept of context-aware and reflex-using radio networks. By leveraging components such as awareness and handler, the proposed system optimizes network performance by providing real-time information and triggering reflexes to mitigate interference. The implementation and evaluation of this concept are demonstrated using the OMNeT++ network simulator, showcasing significant improvements in frame losses from 67% frame loss down to 6% frame loss in the scenario. The findings highlight the potential of context-aware and reflex-using wireless networks to address the growing demands of IoT environments, ensuring reliable and efficient communication.

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Context Awareness and Reflexes in Wireless Networks to Increase Robustness and Coexistence

  • Swen Leugner,
  • Horst Hellbrück

摘要

The integration of wireless radio interfaces into everyday objects has led to the rapid growth of wireless networks, particularly within the Internet of Things (IoT). This expansion, however, introduces challenges such as cross-technology interference (CTI) and insufficient coexistence among various wireless standards operating in the same frequency bands. This paper proposes a novel solution to enhance the robustness and coexistence of wireless networks through the concept of context-aware and reflex-using radio networks. By leveraging components such as awareness and handler, the proposed system optimizes network performance by providing real-time information and triggering reflexes to mitigate interference. The implementation and evaluation of this concept are demonstrated using the OMNeT++ network simulator, showcasing significant improvements in frame losses from 67% frame loss down to 6% frame loss in the scenario. The findings highlight the potential of context-aware and reflex-using wireless networks to address the growing demands of IoT environments, ensuring reliable and efficient communication.