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Areas Within Irregular Boundaries

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Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...

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Related Experiment Video

Updated: May 26, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

Delaunay triangulation as a new coverage measurement method in wireless sensor network.

Hassan Chizari¹, Majid Hosseini, Timothy Poston

¹Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, Malaysia. chizari@ieee.org

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This study introduces a new method using Delaunay Triangulation (DT) to precisely measure Wireless Sensor Network (WSN) coverage. The technique offers detailed insights into Quality of Coverage (QoC), surpassing simple percentage-based metrics.

Keywords:

communication coverage delaunay triangulation quality of coverage sensing coverage wireless sensor network

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Last Updated: May 26, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

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Published on: November 7, 2016

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Published on: May 1, 2018

Area of Science:

Computer Science
Network Engineering
Wireless Sensor Networks

Background:

Sensing and communication coverage are critical trade-offs in Wireless Sensor Network (WSN) design.
Existing coverage measurement methods often lack detailed information, providing only percentage values.
Quality of Coverage (QoC) can vary significantly even with identical coverage percentages.

Purpose of the Study:

To propose a novel coverage measurement method for WSNs.
To provide a comprehensive tool for assessing Quality of Coverage (QoC).
To offer detailed insights beyond simple coverage percentages.

Main Methods:

Utilized Delaunay Triangulation (DT) for coverage analysis.
Developed a method to categorize sensor distribution ('fat', 'healthy', 'thin').
Included functionality to identify the largest empty areas within the sensor field.

Main Results:

The proposed DT method accurately quantifies coverage information.
The method categorizes sensor density, indicating dense, optimal, and scattered areas.
Successfully identified the largest uncovered regions.

Conclusions:

The Delaunay Triangulation (DT) method offers a superior approach to WSN coverage measurement.
This technique provides valuable tools for comparing Quality of Coverage (QoC) across different scenarios.
Enables a deeper understanding of sensor network performance and deployment.