使用多策略融合蛇优化器和最小跨越树的WSN基于集群的节能路由协议
Le Yang1, Damin Zhang2, Lun Li1
1College of Big Data & Information Engineering, Guizhou University, Guiyang, 550025, China.
Scientific reports
|July 22, 2024
概括
本研究介绍了一种用于无线传感器网络 (WSN) 的新型集群路由协议,使用多策略融合蛇优化器 (MSSO) 和最小跨树算法. 该协议增长了网络寿命,节约了能源,性能优于现有方法.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 人工智能的人工智能
背景情况:
- 无线传感器网络 (WSN) 面临能源和寿命限制,阻碍物联网 (IoT) 集成.
- 有效的路由协议对于WSN的寿命和性能至关重要.
- 集群技术为WSN能源和路由挑战提供了可行的解决方案.
研究的目的:
- 为WSN引入一种新的集群路由协议,以提高网络寿命和节省能源.
- 用先进的算法优化集群头和中继节点的选择.
- 为了提高WSN路由的效率和性能.
主要方法:
- 开发了一个新的集群路由协议,集成多策略融合蛇优化器 (MSSO) 和最小跨树算法.
- 增强了MSSO,具有动态参数更新,自适应性α突变和双向搜索优化,以实现更快的融合和扩展搜索.
- 集成的模糊C-Means (FCM) 进入MSSO用于集群头的选择和使用的距离,剩余能量和方向用于中继节点的选择.
主要成果:
- 与LEACH,ESO,EEWC,GWO和EECHS-ISSADE相比,拟议的协议至少减少了26.64%的能源消耗.
- 网络寿命至少增加了25.84%.
- 延长了至少52.43%的稳定期,并至少提高了40.99%的网络吞吐量.
结论:
- 新型集群路由协议显著提高了WSN的能源效率和网络寿命.
- 用FCM和优化策略增强的MSSO算法有效地解决了WSN路由挑战.
- 这项研究为开发更可持续,更高效的物联网应用WSN提供了有希望的解决方案.
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