一个智能算法,用于软件定义的无线传感器网络的能源效率优化,用于5G通信
Kemal Gökhan Nalbant1, Suliman A Alsuhibany2, Asma Hassan Alshehri3
1Faculty of Engineering Architecture, Department of Software Engineering, Istanbul Beykent University, Sariyer, Istanbul, Turkey.
本研究介绍了软件定义无线传感器网络 (WSN) 的新能源高效路由协议. 拟议的方法通过优化集群路由算法,显著提高网络寿命和性能.
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) 对于数据传输至关重要,提供灵活性和流动性.
- 能源效率和计算可行性是WSN通信协议设计中的关键挑战.
- 软件定义的WSN正在成为物联网 (IoT) 的重要架构.
研究的目的:
- 提高软件定义WSN的能源效率并延长其运行寿命.
- 为了减少集群路由协议中的能源消耗.
- 在不同的操作条件下提高整体系统性能.
主要方法:
- 在软件定义的WSN中开发一种新的节能路由方法.
- 集成的火虫算法和高效率的集群路由优化.
- 基于模拟的性能评估与现有算法对比.
主要成果:
- 与现有算法相比,拟议的方法证明了优越的系统性能.
- 该算法实现了大约42.06%的活节点,比DEEC-FA.
- 它还超过了IFCEER的13.95%和另一个参考算法的12.05%.
结论:
- 这种新的方法有效地提高了软件定义WSN中的能源效率和网络寿命.
- 火算法和的集成为WSN路由挑战提供了一个有希望的解决方案.
- 这些发现突出了拟议方法对未来物联网应用的潜力.
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