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Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks
Youngjae Son1, Minjae Kang2, Younghyun Kim3
1Department of Software Convergence, Soongsil University, Seoul 06978, Korea.
Sensors (Basel, Switzerland)
|July 8, 2020
Summary
This study introduces a novel scheme for solar-powered wireless sensor networks (SP-WSNs) using a mobile sink with wireless power transmission (WPT). It effectively minimizes energy imbalance and sensor node blackouts, enhancing data collection efficiency.
Area of Science:
- Wireless Sensor Networks
- Energy Harvesting
- Wireless Power Transmission
Background:
- Solar-powered wireless sensor networks (SP-WSNs) face energy constraints.
- Wireless power transmission (WPT) offers remote charging but can cause energy imbalance with stationary sinks.
- Mobile sinks and clustering are used, but cluster head energy burden remains a challenge.
Purpose of the Study:
- To propose a scheme mitigating energy imbalance in SP-WSNs with WPT-capable mobile sinks.
- To optimize cluster head selection and energy management.
- To enhance overall network performance and data collection.
Main Methods:
- Utilizing a WPT-capable mobile sink node.
- Implementing an efficient clustering scheme with effective cluster head election based on node energy states.
- Enabling the mobile sink to charge cluster heads while collecting data.
Main Results:
- Minimized energy imbalance among sensor nodes.
- Reduced energy burden on cluster heads and surrounding nodes.
- Increased data collection by the sink node.
- Decreased sensor node blackouts.
Conclusions:
- The proposed scheme effectively addresses the energy imbalance problem in SP-WSNs with WPT-capable mobile sinks.
- Efficient clustering and sink-based charging enhance network longevity and data throughput.
- This approach offers a sustainable solution for energy-constrained wireless sensor networks.
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