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A decentralized fuzzy C-means-based energy-efficient routing protocol for wireless sensor networks.

Osama Moh'd Alia1

  • 1Faculty of Computers and Information Technology, University of Tabuk, P.O. Box 741, Tabuk 71491, Saudi Arabia.

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Summary

This study introduces a Decentralized Fuzzy Clustering Protocol (DCFP) to conserve energy in wireless sensor networks (WSNs). The DCFP protocol enhances network lifetime and data delivery while minimizing energy consumption.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Energy conservation is critical for wireless sensor networks (WSNs).
  • Existing protocols often face limitations in maximizing network lifetime and efficient data transmission.

Purpose of the Study:

  • To propose a Decentralized Fuzzy Clustering Protocol (DCFP) for WSNs.
  • To minimize network energy dissipation and prolong network lifetime.
  • To enhance data delivery and energy efficiency.

Main Methods:

  • A one-time infrastructure construction using fuzzy C-means for node clustering.
  • A decentralized protocol with distinct CH-Election and Data Transmission phases.
  • A novel multicriteria objective function for electing cluster heads (CHs).

Main Results:

  • DCFP effectively minimizes total network energy dissipation.
  • Simulation results show improved network lifetime compared to existing protocols.
  • Enhanced data delivery and energy consumption efficiency were observed.

Conclusions:

  • The proposed DCFP protocol offers a significant improvement in WSN energy conservation.
  • DCFP successfully balances energy efficiency, data delivery, and network longevity.
  • The decentralized approach with enhanced CH election proves effective for WSNs.