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DGTTSSA:基于信任的数据收集技术和WSNs的搜索算法.
Walid Osamy1,2, Ahmed M Khedr3,4, Bader Alwasel2
1Computer Science Department, Faculty of Computers and Artificial Intelligence, Benha University, Benha 13513, Egypt.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
本研究介绍了一种基于信任的数据收集技术,使用无线传感器网络 (WSN) 的Sparrow搜索算法 (SSA). 该方法提高了网络安全性,并通过根据能源和信任值选择值得信赖的集群头来延长寿命.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 人工智能的人工智能
背景情况:
- 无线传感器网络 (WSN) 对智能应用至关重要,但在开放环境中面临着重大安全挑战.
- 集群对于WSN长寿至关重要,但受损的集群头 (CHs) 破坏了数据的可靠性.
- 信任意识的集群对于增强WSN安全性和节点通信至关重要.
研究的目的:
- 为WSN引入一种新的基于信任的数据收集技术.
- 通过改进的CH选择,增强网络安全并延长WSNs的运行寿命.
- 开发一种使用Sparrow搜索算法 (SSA) 的可信度意识的CH选择机制.
主要方法:
- 提出了一种基于信任的数据收集技术,DGTTSSA,它适应了基于群体的SSA优化算法.
- 适应性函数是使用节点的剩余能量和信任值来设计的,以实现高效和可靠的CH选择.
- 预定义的能源和信任门的动态调整适应网络变化.
主要成果:
- DGTTSSA有效地选择最值得信赖的节点作为CH,显著延长WSN网络寿命.
- 与LEACH-TM,ETCHS,eeTMFGA和E-LEACH等现有算法相比,拟的方法在不稳定时期取得了实质性的改进.
- 性能增长在各种基站 (BS) 位置 (中心,角落,网络外) 中是一致的.
结论:
- DGTTSSA提供了一个强大的解决方案,用于增强WSN安全性和延长网络寿命.
- 基于SSA的信任意识集群方法在WSN数据收集方面取得了重大进展.
- 该技术在保持网络稳定性和可靠性方面表现出卓越的性能.
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