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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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ECKN: An Integrated Approach for Position Estimation, Packet Routing, and Sleep Scheduling in Wireless Sensor

Mauricio Bertanha1, Richard W Pazzi1, Khalil El-Khatib1

  • 1Faculty of Business and IT, Ontario Tech University, 2000 Simcoe St N., Oshawa, ON L1G 0C5, Canada.

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Summary
This summary is machine-generated.

This study introduces the energy-aware connected k-neighborhood (ECKN) for wireless sensor networks (WSNs). ECKN integrates localization, routing, and sleep scheduling to extend network lifetime and improve node positioning.

Keywords:
data dissemination protocolduty cyclinggreedy geographic forwardingmobile sinkpacket routingperformance evaluationposition estimationsleep schedulingwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) face challenges in network lifetime and node localization due to battery constraints and unattended deployment.
  • Existing solutions often address localization and network longevity separately, creating a need for integrated approaches.

Purpose of the Study:

  • To propose a novel, integrated mechanism called energy-aware connected k-neighborhood (ECKN) for WSNs.
  • To enhance network lifetime, improve node localization accuracy, and ensure efficient packet routing.

Main Methods:

  • ECKN employs trilateration for position estimation using a mobile sink and localized neighbors.
  • A routing protocol based on greedy geographic forwarding (GGF) is adapted to consider residual energy for reliable packet delivery.
  • A sleep scheduling mechanism, leveraging the connected k-neighborhood (CKN), is used to conserve energy while maintaining network connectivity.

Main Results:

  • ECKN successfully extends WSN network lifetime.
  • The mechanism accurately localizes sensor nodes.
  • It sustains an acceptable packet delivery ratio while reducing overall network overhead.

Conclusions:

  • ECKN provides a unified solution for critical WSN design factors: localization, routing, and energy management.
  • The integrated approach significantly enhances WSN performance and longevity, particularly in resource-constrained environments.