面向物联网辅助无线传感器网络的生存力模型虚拟化无线传感器网络框架

IF 0.9 Q4 TELECOMMUNICATIONS
Bere Sachin Sukhadeo, Sarika Dilip Dhurgude, Y. Sinkar, Shashikant V. Athawale
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引用次数: 0

摘要

传统的非虚拟化无线传感器网络(WSN)由于嵌入式应用而难以有效使用,这使得其他应用无法访问传感器节点。拟议的研究考虑了无线传感器网络的节点级和网络级虚拟化,以研究动态虚拟网络嵌入。WSN 可通过网络虚拟化利用其共享传感能力。基础设施提供商通过将更多虚拟网络嵌入(VNE)映射到其基底网络上,赚取更多收入。因此,虚拟网络嵌入必须提高其接受率。通过仿真结果表明,拟议的 RLE-SVNE 在接受率、恢复率、故障恢复延迟和收入成本方面比最先进的技术更有效。它将 RLF-SVNE 方法与 C-SVNE 和 N-SVNE 进行了比较,以证明其优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework of survivability model virtualized wireless sensor networks for IOT‐assisted wireless sensor network
Using traditional non‐virtualized Wireless Sensor Networks (WSNs) efficiently is difficult due to the embedded applications, which make the sensor nodes inaccessible to other applications. The proposed study considered both the node‐level and network‐level virtualization of wireless sensor networks to examine dynamic virtual network embedding. WSNs can leverage their shared sensing capabilities through network virtualization. Infrastructure providers earn more revenue by mapping more virtual network embedding (VNE) onto their substrate networks. VNE must therefore improve its acceptance ratio. The proposed RLE‐SVNE is demonstrated to be more efficient than state‐of‐the‐art in respect to acceptance, recovery, failure recovery delay, and revenue cost through simulation results. It compares the RLF‐SVNE method with C‐SVNE and N‐SVNE to demonstrate its superiority.
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