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Wireless Charging Deployment in Sensor Networks.

Wei-Yu Lai¹, Tien-Ruey Hsiang²

¹Department of Computer Science and Information Engineering, National Taiwan University of Science Technology, Taipei 10607, Taiwan. d10115005@mail.ntust.edu.tw.

Sensors (Basel, Switzerland)

|January 11, 2019

Summary

This summary is machine-generated.

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This study introduces new mobile wireless charging strategies for wireless sensor networks. The proposed methods significantly reduce charging locations and time, improving network lifespan.

Area of Science:

Computer Science
Electrical Engineering
Wireless Communication

Background:

Wireless sensor networks (WSNs) require efficient energy management to prolong operational lifespan.
Existing mobile wireless charging schemes often assume single-position charging per sensor, which is not always practical.
Optimizing charger paths and minimizing charging locations are critical for WSN energy sustainability.

Purpose of the Study:

To develop novel charging schemes for wireless sensor networks using mobile wireless chargers.
To minimize both the number of charging locations and the total charging time required for sensors.
To address limitations in existing studies regarding the minimization of charging service positions.

Main Methods:

Development of two distinct charging plans: a greedy approach and a two-phase optimization.

Keywords:

charger planning charging time number of charging stops wireless rechargeable sensor network

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The greedy plan selects charging positions based on sensor charging time requirements.

The two-phase plan first minimizes charging positions, then assigns charging times based on sensor needs.

Main Results:

The proposed charging plans effectively reduce the number of charging locations and total charging time.
Empirical studies demonstrate significant improvements compared to minimal clique partition (MCP)-based methods.
Savings of up to 60% in charging positions and total charging time were observed.

Conclusions:

The developed charging schemes offer a more practical and efficient solution for mobile wireless charging in WSNs.
The study provides a viable approach to overcome limitations in previous charging position minimization strategies.
The findings suggest a substantial enhancement in the energy efficiency and longevity of wireless sensor networks.