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

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Published on: September 8, 2023

An energy-efficient underground localization system based on heterogeneous wireless networks.

Yazhou Yuan¹, Cailian Chen², Xinping Guan^3,4

¹School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, 800 Dongchuan RD. Minhang District, Shanghai 201100, China. yazhouyuan@sjtu.edu.cn.

Sensors (Basel, Switzerland)

|May 29, 2015

Summary

This summary is machine-generated.

This study introduces an energy-efficient underground localization system for mines. It enhances miner safety by reliably transmitting location data, adapting to harsh environments and extending network life.

Keywords:

adaptive packets scheduling energy efficiency heterogeneous wireless network power control

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Area of Science:

Engineering
Computer Science
Mining Technology

Background:

Personnel safety in underground mines necessitates precise, energy-efficient positioning systems.
Reliable, timely transmission of miner location data to a control center is critical.
Existing wireless propagation models are insufficient for irregular underground tunnel environments.

Purpose of the Study:

To design an adaptive underground localization system for harsh tunnel environments.
To reduce energy consumption and prolong network lifetime.
To improve overall system performance for underground mining safety.

Main Methods:

Development of a step counting algorithm utilizing accelerometers.
Implementation of a power control algorithm for energy efficiency.
Introduction of an adaptive packet scheduling scheme for reliable data transmission.

Main Results:

The proposed system demonstrates adaptability to diverse harsh tunnel conditions.
Significant reduction in energy consumption was achieved, extending network operational life.
Simulation and experimental results validate the effectiveness of the developed algorithms.

Conclusions:

The designed underground localization system effectively addresses the need for precision and energy efficiency.
The integrated algorithms enhance system performance and reliability in challenging mining environments.
The system contributes to improved personnel safety through timely and dependable location tracking.