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Related Experiment Video

Updated: May 24, 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

An effective mobile sensor control method for sparse sensor networks.

Kriengsak Treeprapin¹, Akimitsu Kanzaki, Takahiro Hara

¹Dept. of Multimedia Eng., Grad. Sch. of Information Science and Technology, Osaka Univ. 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan; E-Mails: kanzaki@ist.osaka-u.ac.jp ; hara@ist.osaka-u.ac.jp ; nishio@ist.osaka-u.ac.jp.

Sensors (Basel, Switzerland)

|March 6, 2012

Summary

This summary is machine-generated.

We introduce DATFM (Data Acquisition and Transmission with Fixed and Mobile node), a novel method for sparse sensor networks. This approach enhances data transfer efficiency using both fixed and mobile sensor nodes.

Keywords:

Mobile sensor route construction sparse area

Related Experiment Videos

Last Updated: May 24, 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

Area of Science:

Computer Science
Wireless Sensor Networks
Mobile Computing

Background:

Sparse sensor networks face challenges in efficient data acquisition and transmission.
Existing methods may struggle with coverage and energy consumption in sparse deployments.

Purpose of the Study:

To propose an effective mobile sensor control method for sparse sensor networks.
To enhance data acquisition and transmission efficiency in challenging network conditions.

Main Methods:

DATFM utilizes two types of sensor nodes: fixed and mobile nodes.
Data is accumulated on fixed nodes before transfer to the sink.
A communication route using multiple mobile nodes is constructed for efficient data transfer between fixed nodes.

Main Results:

Simulation experiments were conducted to evaluate DATFM's performance.
The proposed method demonstrates effectiveness in managing data flow in sparse networks.

Conclusions:

DATFM offers an effective solution for data acquisition and transmission in sparse sensor networks.
The hybrid approach of fixed and mobile nodes improves communication efficiency.