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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
877
Routing with Renewable Energy Management in Wireless Sensor Networks.
João Junior1,2, Moysés Lima3, Leandro Balico4
1System Technical Group, Sidia Institute of Science and Technology, Manaus 69055-035, Brazil.
Sensors (Basel, Switzerland)
|July 2, 2021
Summary
This study introduces the Renewable Energy-Based Routing (REBORN) algorithm for wireless sensor networks (WSNs). REBORN optimizes energy efficiency by managing both residual and renewable energy, outperforming existing energy-aware protocols.
Area of Science:
- Computer Science
- Electrical Engineering
- Networking
Background:
- Power consumption in wireless sensor networks (WSNs) is critical for routing protocol design.
- Radio transmitters are the primary source of energy drain in sensor nodes.
- Energy-aware protocols enhance efficiency by considering residual energy for routing decisions.
Purpose of the Study:
- To develop a novel routing protocol that integrates both residual and renewable energy information.
- To introduce the Renewable Energy-Based Routing (REBORN) algorithm for enhanced WSNs energy management.
Main Methods:
- Proposed the REBORN algorithm, an energy-aware geographic routing protocol.
- Incorporated management of residual battery power and available renewable energy (e.g., solar).
- Evaluated REBORN's performance against existing energy-aware routing approaches.
Main Results:
- The REBORN algorithm demonstrated significant advantages in energy efficiency.
- REBORN effectively manages both residual and renewable energy sources.
- Comparative analysis confirmed the superior performance of REBORN.
Conclusions:
- The REBORN algorithm offers a more efficient approach to energy management in WSNs.
- Integrating renewable energy harvesting into routing protocols is a viable strategy for extending network lifetime.
- REBORN provides a robust solution for optimizing power consumption in WSNs.
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