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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.
Sensors (Basel, Switzerland)
|September 21, 2018
Summary
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".
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.
Keywords:
annulus-sectordata forwarding strategyenergy balancewireless charging vehicleswireless sensor networksMore Related Videos
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