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A Type of Annulus-Based Energy Balanced Data Collection Method in Wireless Rechargeable Sensor Networks.

Chao Sha1, Qin Liu2, Si-Yi Song3

  • 1School of Computer Science, Software and Cyberspace Security, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, China. shac@njupt.edu.cn.

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|September 21, 2018
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Summary
This summary is machine-generated.

This study introduces an Annulus-based Energy Balanced Data Collection (AEBDC) method to address unbalanced energy consumption in large-scale sensor networks. AEBDC utilizes clustered nodes and wireless charging vehicles to extend network lifetime and solve the "energy hole problem".

Keywords:
annulus-sectordata forwarding strategyenergy balancewireless charging vehicleswireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Ubiquitous terminals and expanding network scales exacerbate unbalanced energy consumption in sensor networks.
  • Existing node scheduling and energy optimization algorithms are insufficient for large-scale applications.

Purpose of the Study:

  • To propose an Annulus-based Energy Balanced Data Collection (AEBDC) method for large-scale sensor networks.
  • To balance energy consumption, avoid buffer overflow, and enhance energy efficiency.

Main Methods:

  • Dividing circular networks into annular sectors to form clusters.
  • Implementing a multi-hop data forwarding strategy with candidate cluster headers.
  • Utilizing Wireless Charging Vehicles (WCVs) for periodic recharging of cluster and candidate headers.

Main Results:

  • AEBDC effectively alleviates the

Conclusions:

  • AEBDC significantly extends sensor network lifetime.
  • The proposed method successfully addresses the energy hole problem in sensor networks.