在多中继地下无线传感器网络中对资源效率进行增强的元启发式优化
1Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-kharj, Saudi Arabia.
PeerJ. Computer science
|June 22, 2023
概括
本研究介绍了一种改进的Salp Swarm算法 (SSA),用于优化地下无线传感器网络 (UWSNs) 的能量和光谱资源. 改进的算法通过高效地管理中继节点和传输功率,显著延长了网络寿命.
科学领域:
- 无线传感器网络 无线传感器网络
- 通信工程 通信工程
- 优化算法 优化算法
背景情况:
- 地下无线传感器网络 (UWSNs) 面临能源和光谱资源利用方面的挑战,原因是电池功率有限,土壤环境恶劣.
- 延长UWSN的运行寿命对于从埋藏传感器收集可靠的数据至关重要.
研究的目的:
- 开发一个改进的元启发式算法,以优化多继电UWSNs中的能量和光谱资源利用.
- 增强Salp Swarm算法 (SSA) 以实现高效的数据中继和在UWSN中延长网络寿命.
主要方法:
- 改进的Salp Swarm算法 (SSA) 应用于多继电UWSN.
- 该算法优化了中继节点的传输功率,以最大限度地提高网络资源效率.
- 标准SSA的改进包括混乱的地图初始化和统一的人口更新交叉.
主要成果:
- 拟议的算法在资源效率和网络寿命方面明显优于标准的SSA.
- 随着合作中继节点数量的增加,性能增长会增加.
- 与其他元启发式方法相比,该算法显示出更高的效率.
结论:
- 增强的SSA为优化资源利用和延长UWSN的寿命提供了有效的解决方案.
- 配合优化功率控制的合作中继策略对于UWSN性能至关重要.
- 拟议的方法为具有挑战性的地下通信环境提供了强大而高效的方法.
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