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Fuzzy Logic-Based Guaranteed Lifetime Protocol for Real-Time Wireless Sensor Networks.

Babar Shah1, Farkhund Iqbal2, Ali Abbas3

  • 1College of Technological Innovation, Zayed University, Abu Dhabi 19282, UAE. babar.shah@zu.ac.ae.

Sensors (Basel, Switzerland)
|August 22, 2015
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Summary
This summary is machine-generated.

A new fuzzy logic model enhances wireless sensor network (WSN) management by guaranteeing network lifetime and enabling real-time communication. This approach optimizes node roles and routing for improved performance and adaptability.

Keywords:
fuzzy logicreal-timeroutingwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Limited techniques exist for guaranteeing network lifetime in wireless sensor networks (WSNs).
  • Existing schemes often fail to support real-time communication and balanced energy consumption, leading to adaptability issues.
  • Current methods rely on disparate parameters, hindering comprehensive network management.

Purpose of the Study:

  • To propose a novel fuzzy logic model for guaranteed network lifetime and real-time communication in WSNs.
  • To enhance adaptability and energy efficiency among sensor nodes.
  • To address the limitations of existing WSN management schemes.

Main Methods:

  • Developed a fuzzy logic controller utilizing energy, time, and velocity as input descriptors.
  • The model determines each node's role and next-hop relay for real-time packets.
  • Simulations were conducted to evaluate the proposed model's effectiveness.

Main Results:

  • The fuzzy logic model successfully ensured both a guaranteed network lifetime and real-time data delivery.
  • Performance metrics showed improvements of up to 8% compared to previous work.
  • A 14% improvement was observed compared to existing WSN schemes.

Conclusions:

  • The proposed fuzzy logic model offers an effective solution for WSN lifetime guarantee and real-time communication.
  • The model demonstrates superior performance in ensuring network longevity and efficient data transmission.
  • This approach provides enhanced adaptability and balanced energy consumption for WSN nodes.