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Updated: May 1, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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An energy-aware routing protocol for query-based applications in wireless sensor networks.

Ehsan Ahvar1, Shohreh Ahvar2, Gyu Myoung Lee1

  • 1Wireless Networks and Multimedia Services Department, Institut Mines-Telecom, Telecom SudParis, 9 rue Charles Fourier, 91011 Evry Cedex, France.

Thescientificworldjournal
|April 4, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces an energy-aware routing protocol (ERP) for wireless sensor networks (WSNs). The ERP balances energy saving and distribution, enhancing network longevity for query-based applications.

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Last Updated: May 1, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) face significant energy consumption constraints.
  • Existing energy-aware routing protocols often prioritize either energy saving or energy balancing, leading to suboptimal network performance.
  • A gap exists for protocols that effectively balance both energy saving and distribution objectives.

Purpose of the Study:

  • To propose a novel energy-aware routing protocol (ERP) for WSNs.
  • To achieve a superior trade-off between energy saving and energy balancing.
  • To support soft real-time packet delivery in query-based WSN applications.

Main Methods:

  • Development of an energy-aware routing protocol (ERP).
  • Integration of fuzzy sets and learning automata techniques.
  • Implementation of zonal broadcasting for optimized data transmission.

Main Results:

  • The proposed ERP demonstrates an effective trade-off between energy saving and energy balancing.
  • The protocol supports soft real-time packet delivery, crucial for query-based applications.
  • Reduced total energy consumption in WSNs is achieved through the proposed methods.

Conclusions:

  • The novel ERP effectively addresses the energy consumption challenges in WSNs.
  • The integration of fuzzy sets, learning automata, and zonal broadcasting offers a promising approach for energy-aware routing.
  • This research contributes to extending the operational lifespan of WSNs, particularly in query-driven scenarios.