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Radical Chain-Growth Polymerization: Chain Branching01:17

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Related Experiment Video

Updated: Mar 9, 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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DCBRP: a deterministic chain-based routing protocol for wireless sensor networks.

Haydar Abdulameer Marhoon1, M Mahmuddin2, Shahrudin Awang Nor2

  • 1College of Science, Computer Department, University of Karbala, Kerbala, Iraq ; InterNetWorks Research Lab, School of Computing, College of Arts and Sciences, Universiti Utara Malaysia, Sintok, Kedah Malaysia.

Springerplus
|December 21, 2016
PubMed
Summary

A new Deterministic Chain-Based Routing Protocol (DCBRP) significantly reduces energy consumption and extends the lifespan of wireless sensor networks (WSNs). DCBRP outperforms existing methods in key performance metrics, making WSNs more efficient.

Keywords:
Chain head selectionDeterministic chain-based routing protocolWireless sensor network

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for various applications, with energy consumption during communication being a major challenge.
  • Routing protocols are vital for efficient data delivery and energy minimization in WSNs.
  • Chain-based routing offers advantages but suffers from high energy expenditure at the Chain Head (CH) and potential bottlenecks.

Purpose of the Study:

  • To introduce a novel routing protocol, the Deterministic Chain-Based Routing Protocol (DCBRP).
  • To address the energy consumption and bottleneck issues prevalent in existing chain-based routing protocols for WSNs.
  • To enhance the overall efficiency and longevity of wireless sensor networks.

Main Methods:

  • Developed the Deterministic Chain-Based Routing Protocol (DCBRP).
  • Implemented three core mechanisms: Backbone Construction, Chain Head Selection (CHS), and Next Hop Connection.
  • Evaluated the CHS mechanism against CCM and TSCP using the ns-3 network simulator.

Main Results:

  • DCBRP demonstrated superior performance over CCM and TSCP.
  • Achieved significant reductions in end-to-end delay (19.3-65%) and CH energy consumption (18.3-23.0%).
  • Showcased improvements in overall energy consumption (23.7-31.4%), network lifetime (22-38%), and energy*delay metric (44.85-77.54%).

Conclusions:

  • DCBRP effectively reduces energy depletion and prolongs WSN operational lifetimes.
  • The protocol is suitable for deterministic node deployment scenarios, including smart cities and smart agriculture.
  • DCBRP offers a more energy-efficient and robust routing solution for WSNs.