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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A fuzzy model for content-centric routing in Zigbee-based wireless sensor networks (WSNs).

Zhou He1,2, Lian Chen1,2, Feng Li1,2

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A new Fuzzy Model for Content-Centric Routing (FMCCR) enhances wireless sensor networks (WSNs). This model improves energy efficiency and packet delivery, significantly extending network lifetime for real-world applications.

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Area of Science:

  • Intelligent communication systems
  • Wireless Sensor Networks (WSNs)
  • Network routing algorithms

Background:

  • Wireless Sensor Networks (WSNs) offer efficient data collection and analysis across diverse environments.
  • Heterogeneous data routing presents significant challenges due to the variety of applications and data types in WSNs.

Purpose of the Study:

  • To introduce a Fuzzy Model for Content-Centric Routing (FMCCR) to address heterogeneous data routing challenges in WSNs.
  • To enhance network performance by optimizing topology control and content-based data transmission.

Main Methods:

  • FMCCR employs a two-step approach: network topology construction and content-centric, fuzzy logic-based data transmission.
  • Data transmission paths are dynamically determined based on network topology and content type.

Main Results:

  • FMCCR demonstrated reduced energy consumption and improved traffic load distribution.
  • The proposed model increased network lifetime by at least 10.74% and packet delivery by 88.1% compared to previous methods.

Conclusions:

  • FMCCR proves effective in enhancing WSN performance, particularly in energy efficiency and network longevity.
  • The model's efficiency suggests its suitability for real-world WSN deployments.