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Related Experiment Video

Updated: Dec 25, 2025

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

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

Published on: September 8, 2023

PDTR: Probabilistic and Deterministic Tree-based Routing for Wireless Sensor Networks.

Rafia Ghoul¹, Jing He¹, Sana Djaidja²

¹College of Computer Science and Electronic Engineering, Hunan University, Changsha 410006, China.

Sensors (Basel, Switzerland)

|March 22, 2020

Summary

This summary is machine-generated.

This study introduces Probabilistic and Deterministic Tree-based Routing for WSNs (PDTR), optimizing energy consumption and network lifetime. PDTR enhances wireless sensor networks by intelligently updating routing paths when nodes lose energy.

Keywords:

energy efficiency hops-count network lifetime probabilistic routing table probability distribution residual energy routing transmission distance wireless sensor networks

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Area of Science:

Computer Science
Networking
Wireless Sensor Networks

Background:

Wireless Sensor Networks (WSNs) face challenges in energy efficiency and network longevity.
Existing routing protocols often struggle to adapt dynamically to node energy depletion.
Optimizing data transmission paths is crucial for extending WSN operational life.

Purpose of the Study:

To propose and evaluate a novel routing protocol, Probabilistic and Deterministic Tree-based Routing for WSNs (PDTR).
To enhance energy efficiency and prolong the network lifetime of WSNs.
To investigate the impact of various distribution parameters on routing performance.

Main Methods:

PDTR constructs a routing tree from leaves to the sink, prioritizing paths based on hop-count and transmission distance distributions.
Data forwarding occurs deterministically along the established tree.
Dynamic tree updates are triggered by node energy loss, incorporating residual energy distribution into path selection.

Main Results:

Simulation results demonstrate superior performance of PDTR compared to other methods.
The protocol effectively conserves energy and extends network lifetime.
Adaptive routing adjustments based on energy levels significantly improve WSN performance.

Conclusions:

PDTR offers a robust solution for energy-efficient routing in WSNs.
The hybrid unicast/anycast approach for path selection and dynamic updates is key to improved performance.
User-configurable parameters allow for tailored network performance optimization.