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Energy-Saving Traffic Scheduling in Hybrid Software Defined Wireless Rechargeable Sensor Networks.
Yunkai Wei1, Xiaohui Ma2, Ning Yang3
1School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 610051, China. ykwei@uestc.edu.cn.
Sensors (Basel, Switzerland)
|September 16, 2017
Summary
This study introduces an Energy-saving Traffic Scheduling (ETS) algorithm for hybrid Software Defined Wireless Rechargeable Sensor Networks (SDWRSNs). ETS enhances energy efficiency by up to 40% compared to traditional methods.
Area of Science:
- Computer Science
- Electrical Engineering
- Networking
Background:
- Software Defined Wireless Rechargeable Sensor Networks (SDWRSNs) are emerging, but traditional devices will coexist, forming hybrid networks.
- Energy saving remains critical in these networks, especially with limited wireless charger availability in constrained environments.
- Existing energy-saving schemes are insufficient for the unique characteristics of hybrid SDWRSNs.
Purpose of the Study:
- To develop a novel energy-saving traffic scheduling algorithm tailored for hybrid SDWRSNs.
- To address the challenges posed by the coexistence of software-defined and traditional devices in energy management.
- To improve the energy efficiency of wireless rechargeable sensor networks.
Main Methods:
- Proposes the Energy-saving Traffic Scheduling (ETS) algorithm.
- Leverages the Software Defined Networking (SDN) controller's capabilities for both SDN and traditional nodes.
- Evaluates performance against the Minimum Transmission Energy (MTE) protocol.
Main Results:
- The ETS algorithm significantly improves energy efficiency in hybrid SDWRSNs.
- Achieved energy efficiency gains of 20-40% compared to the MTE protocol.
- Maintained feasible data delay while enhancing energy savings.
Conclusions:
- The ETS algorithm is effective for energy saving in hybrid SDWRSNs.
- SDN controller integration offers advantages for energy management in heterogeneous wireless sensor networks.
- The proposed approach provides a practical solution for prolonging network lifetime in resource-constrained environments.
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