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Updated: May 25, 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

A polygon model for wireless sensor network deployment with directional sensing areas.

Chun-Hsien Wu¹, Yeh-Ching Chung

¹Department of Computer Science, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan;

Sensors (Basel, Switzerland)

|February 4, 2012

Summary

This summary is machine-generated.

A new polygon model for wireless sensor networks (WSNs) improves sensing coverage. This directional sensing area model enhances network connectivity and outperforms existing disk and sector models in simulations.

Keywords:

coverage model sensor node deployment topology control wireless sensor network

Related Experiment Videos

Last Updated: May 25, 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
Network Engineering
Wireless Sensor Networks

Background:

Accurate modeling of sensor node sensing areas is crucial for effective wireless sensor network (WSN) deployment algorithms.
Existing models like disk and circular sector may not fully capture the directional sensing capabilities of modern sensor nodes.
Optimizing network connectivity and sensing coverage are key challenges in WSN design.

Purpose of the Study:

To propose a novel polygon model for representing the directional sensing area of sensor nodes in WSNs.
To develop a WSN deployment algorithm incorporating topology control and scoring mechanisms.
To evaluate the effectiveness of the proposed polygon model and deployment algorithm compared to existing methods.

Main Methods:

Development of a polygon-based model for directional sensor node sensing areas.
Design of a WSN deployment algorithm featuring topology control and scoring for connectivity and coverage.
Conducting simulations to compare the proposed polygon model against disk and circular sector models.

Main Results:

The proposed polygon model demonstrated superior performance in maximizing sensing coverage rate.
The WSN deployment algorithm effectively maintained network connectivity.
Simulations confirmed the advantages of the polygon model over traditional disk and circular sector models.

Conclusions:

The polygon model offers a more accurate representation of directional sensing areas in WSNs.
The proposed deployment algorithm enhances both network connectivity and sensing coverage.
The findings suggest the polygon model is a promising approach for optimizing WSN deployment.