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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
Energy-Efficient Connected-Coverage Scheme in Wireless Sensor Networks
Yun Xu1, Wanguo Jiao1, Mengqiu Tian1
1College of Information Science and Technology, Nanjing Forestry University, Longpan Load 159, Nanjing 210037, China.
This study enhances wireless sensor network lifetime by optimizing node scheduling and introducing the Improved-Distributed Energy-Efficient Clustering (I-DEEC) routing protocol. The combined approach reduces redundant nodes and improves energy efficiency for extended network operation.
Area of Science:
- Computer Science
- Electrical Engineering
- Network Engineering
Background:
- Wireless sensor networks (WSNs) face limited energy, impacting network lifetime.
- Existing solutions focus on either node scheduling or routing optimization individually.
- There's a need for integrated approaches to maximize energy utilization and network longevity.
Purpose of the Study:
- To propose an efficient solution combining node scheduling and routing protocol optimization for WSNs.
- To extend the operational lifetime of wireless sensor networks.
- To reduce redundant sensor nodes and enhance energy efficiency in data transmission.
Main Methods:
- A genetic algorithm-based node scheduling scheme identifies the minimum sensor nodes for target coverage.
- Redundant nodes are utilized for sleep scheduling and to replace dead nodes, extending network life.
- An Improved-Distributed Energy-Efficient Clustering (I-DEEC) routing protocol is developed, considering node energy and distance to the sink for cluster head selection.
- Uneven cluster construction and optimized data communication around the sink balance energy load.
Main Results:
- The genetic algorithm-based scheduling significantly reduces the number of redundant sensor nodes.
- The I-DEEC routing protocol demonstrates improved energy efficiency in data transmission.
- The integrated approach substantially extends the overall lifetime of the wireless sensor network.
Conclusions:
- Combining optimized node scheduling with the I-DEEC routing protocol is an effective strategy for prolonging WSN lifetime.
- The proposed methods address energy limitations by minimizing node redundancy and optimizing data routing.
- This research contributes a significant improvement in energy efficiency and network longevity for wireless sensor networks.
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