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Energy-Efficient and Highly Reliable Geographic Routing Based on Link Detection and Node Collaborative Scheduling in
Minghua Wang1, Ziyan Zhu1, Yan Wang1
1School of Electrical Engineering, University of South China, Hengyang 421001, China.
This study introduces a node collaborative scheduling algorithm for wireless sensor networks to improve energy efficiency and data reliability. The new approach reduces energy consumption and network delay while enhancing packet delivery rates.
Area of Science:
- Computer Science
- Electrical Engineering
- Network Engineering
Background:
- Wireless sensor networks (WSNs) face challenges in energy efficiency and data reliability.
- Existing routing protocols often neglect node coverage and data redundancy, leading to resource waste.
- Geographic routing in WSNs suffers from data transmission unreliability due to lack of validity checks.
Purpose of the Study:
- To enhance WSN performance by addressing energy efficiency and data reliability.
- To propose a novel routing protocol that integrates coverage control techniques.
- To improve the robustness and throughput of geographic routing in WSNs.
Main Methods:
- Developed a node collaborative scheduling algorithm considering sensor node correlation.
- Integrated routing protocols with coverage control to minimize active nodes and packet generation.
- Implemented a highly reliable link detection and repair scheme for geographic routing.
Main Results:
- Reduced energy consumption and network delay through optimized node activation.
- Improved packet delivery rate and network throughput via reliable link management.
- Demonstrated significant effectiveness and superiority of the proposed scheme through extensive experiments.
Conclusions:
- The proposed node collaborative scheduling algorithm effectively enhances WSN performance.
- The integrated approach optimizes resource utilization and reduces energy waste.
- The reliable link detection and repair scheme significantly boosts data transmission integrity and network robustness.
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