一种混合空间狮优化和实用数据传输方法,用于对节能无线传感器网络进行智能优化
Malathy Sathyamoorthy1, Rajesh Kumar Dhanaraj2, C N Vanitha3
1Department of Information Technology, KPR Institute of Engineering and Technology, Coimbatore, India. malathy.s@kpriet.ac.in.
Scientific reports
|July 2, 2025
概括
本研究介绍了一种新的空间狮优化方案,以提高无线传感器网络的性能. 拟议的方法提高了吞吐量,减少了延迟,并提高了能源效率,使网络寿命更长.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 无线传感器网络 (WSN) 在能源消耗,延迟和有限的网络寿命方面面临着挑战.
- 优化技术对于平衡WSN参数和延长网络运行时间至关重要.
- 现有的方案,如粒子优化 (PSO),狮优化 (ALO) 和模拟化-自适应对立 (SA-AOA) 有局限性.
研究的目的:
- 为无线传感器网络提出一个新的优化方案.
- 为了提高网络寿命,吞吐量和能源效率,同时尽量减少延迟.
- 引入两阶段的方法:最佳集群头部选择和有效的数据传输.
主要方法:
- 第一个阶段:使用空间狮优化 (SALO) 选择最佳集群头,将节点分类为""和"狮".
- 基于保留的能量,距离沉没和距离的距离,对的适应性评估.
- 第二阶段:使用基于集群头到沉没距离的单跳或双跳传输的实用数据传输算法.
主要成果:
- 与现有方法相比,拟议的SALO方案实现了1.86%的吞吐量增加.
- 使用新方法观察到网络延迟减少了2.56%.
- 在能源效率方面取得了显著的3.18%的改进,延长了网络寿命.
结论:
- 空间狮优化方案有效平衡WSN参数,以提高性能.
- 两相方法提高了集群头选择和数据传输效率.
- 拟议的模型为现有的WSN优化技术提供了更好的替代方案.
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