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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

Energy-efficient algorithm for sensor networks with non-uniform maximum transmission range.

Yimin Yu¹, Chao Song, Ming Liu

¹School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China. allbooks@tom.com

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

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Addressing the energy hole problem in wireless sensor networks (WSNs), this study introduces an energy-efficient algorithm (ENMT) for non-uniform maximum transmission ranges, significantly extending network lifetime.

Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Wireless sensor networks (WSNs) face a critical challenge known as the energy hole problem, which significantly limits their operational lifespan.
In multi-hop WSNs modeled as concentric coronas, optimizing transmission ranges is crucial for enhancing network longevity.

Purpose of the Study:

To investigate the impact of non-uniform maximum transmission ranges on WSN lifetime.
To propose an energy-efficient algorithm (ENMT) to determine optimal transmission ranges in WSNs with varying node capabilities.

Main Methods:

The study models wireless sensor networks as circular, multi-hop networks with concentric coronas.
A novel algorithm, Energy-efficient algorithm for Non-uniform Maximum Transmission range (ENMT), is developed to find approximate optimal transmission ranges.

Keywords:

energy balance energy hole load-similar node distribution network lifetime

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Last Updated: May 26, 2026

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

Simulations are conducted to evaluate the performance of the proposed algorithm.

Main Results:

The proposed ENMT algorithm effectively addresses the energy hole problem in WSNs.
ENMT demonstrates superior performance in prolonging network lifetime compared to existing algorithms.
Non-uniform maximum transmission ranges can be optimized to improve overall network efficiency.

Conclusions:

The ENMT algorithm offers a viable solution for extending the lifetime of wireless sensor networks with heterogeneous transmission ranges.
Optimizing transmission ranges is a key strategy for mitigating energy holes and enhancing WSN sustainability.
The findings provide valuable insights for the design and deployment of energy-efficient WSNs.