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Energy-efficient Area Coverage by Sensors with Adjustable Ranges.

Vyacheslav Zalyubovskiy¹, Adil Erzin, Sergey Astrakov

¹Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia; E-Mails: slava@math.nsc.ru (V.Z.); adilerzin@math.nsc.ru (A.E.).

Sensors (Basel, Switzerland)

|May 11, 2012

Summary

This study introduces new density control models for wireless sensor networks to enhance energy efficiency and network lifetime by optimizing sensor placement and reducing overlapping coverage areas. The proposed methods improve coverage and performance metrics compared to existing techniques.

Keywords:

Coverage deployment energy efficiency simulation wireless sensor networks

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Area of Science:

Wireless Sensor Networks
Network Lifetime Optimization
Energy-Efficient Area Coverage

Background:

Density control is crucial for extending wireless sensor network (WSN) lifetime.
Minimizing overlapping sensor coverage areas reduces overall energy consumption.
Existing efficiency estimation methods for adjustable ranges require improvement.

Purpose of the Study:

To investigate energy-efficient area coverage through regular sensor placement with adjustable ranges.
To develop more accurate efficiency estimation methods for sensors with adjustable ranges.
To propose novel density control models for improved coverage using sensors with dual sensing ranges.

Main Methods:

Developing new density control models for WSNs.
Utilizing sensors with adjustable sensing and communication ranges.
Employing regular sensor placement strategies.
Conducting calculations and extensive simulations for performance evaluation.

Main Results:

Proposed models offer a more accurate estimation of coverage efficiency.
New density control models significantly improve area coverage.
The models demonstrate superior performance across various metrics compared to existing methods.
Enhanced energy efficiency and prolonged network lifetime are achieved.

Conclusions:

The developed density control models effectively enhance energy efficiency in WSNs.
The proposed methods provide a significant improvement in area coverage.
This research contributes to optimizing WSN performance and longevity.