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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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An Energy-Efficient Routing Algorithm for WSNs Using Fuzzy Logic.

Preetha R Rao1, Amruta Lipare2, Damodar Reddy Edla1

  • 1National Institute of Technology Goa, Ponda 403401, Goa, India.

Sensors (Basel, Switzerland)
|October 14, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an energy-efficient routing algorithm using fuzzy logic (EERF) for wireless sensor networks (WSN). EERF significantly improves energy consumption and network stability compared to existing methods.

Keywords:
base stationcluster headenergy efficiencyfuzzy logicload balancingroutingwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) rely on battery-powered sensor nodes, necessitating energy-efficient data transfer.
  • Data routing in WSNs often involves intermediate nodes forwarding information to a base station (BS).
  • Existing routing algorithms face challenges in optimizing energy consumption and network longevity.

Purpose of the Study:

  • To propose a novel energy-efficient routing algorithm using fuzzy logic (EERF) for wireless sensor networks.
  • To enhance the operational lifespan of sensor nodes by minimizing energy depletion during data transfer.
  • To address the ambiguity inherent in WSN environments through the application of fuzzy logic.

Main Methods:

  • Developed an energy-efficient routing algorithm using fuzzy logic (EERF).
  • Integrated fuzzy logic to process inputs such as remaining energy, distance to the base station, and the number of connected nodes.
  • Compared EERF against established algorithms like energy-aware unequal clustering using fuzzy logic (EAUCF) and distributed unequal clustering using fuzzy logic (DUCF).

Main Results:

  • The proposed EERF algorithm demonstrated superior performance over EAUCF and DUCF.
  • EERF achieved lower energy consumption across the network.
  • The algorithm enhanced network stability and the number of active sensor nodes per round.

Conclusions:

  • EERF offers a significant advancement in energy-efficient routing for wireless sensor networks.
  • Fuzzy logic effectively manages the complexities of WSN environments for optimized performance.
  • The EERF algorithm provides a robust solution for extending the operational life of WSNs.