面向能量采集物联网网络的基于高斯函数形状的ii型模糊隶属度聚类协议

V. Bhatia, A. Girdhar, S. S. Khurmi
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引用次数: 1

摘要

随着物联网(IoT)技术的进步,能量收集物联网设备变得越来越重要。这些微小的物联网设备可以收集有限的能量,因此需要一个有效的协议以更有效的方式保存能量。从回顾中可以发现,为能量收集物联网开发高效节能协议仍然是一个开放的研究领域。研究发现,基于模糊的能量收集物联网比现有协议有了显著的改进。然而,模糊逻辑存在数据不确定性问题。因此,本文采用基于高斯函数形状的二类模糊隶属度函数来选择物联网设备间的簇首,以降低能量采集物联网的能耗。然后,使用集群间的数据聚合。最后,当选的集群头与云服务器或接收器之间的通信。通过考虑现有的和拟议的能量收集物联网协议,进行了广泛的实验。对比分析表明,本文提出的基于ⅱ类模糊隶属度函数的协议在带宽分析、吞吐量、节能、网络生存期和平均能耗等方面都优于现有协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gaussian functional shapes-based type-II fuzzy membership-based cluster protocol for energy harvesting IoT networks
With the advancements in Internet of Things (IoT) technologies, energy harvesting IoT devices are becoming significantly important. These tiny IoT devices can harvest bounded energy, thus need an efficient protocol to conserve the energy in more efficient manner. From the review, it is found that the development of an efficient energy efficient protocol for energy harvesting IoT is still an open area of research. It is found that fuzzy based energy harvesting IoTs has shown significant improvement over the existing protocols. However, the fuzzy logic suffers from the data uncertainty issue. Therefore, in this paper, Gaussian functional shapes-based type-II fuzzy membership function is used to elect the cluster heads among the IoT devices to reduce the energy consumption of energy harvest IoTs. Thereafter, inter-cluster data aggregation is used. Finally, the communication between the elected cluster heads and the cloud servers or sink. Extensive experiments are drawn by considering the existing and the proposed protocols for energy harvesting IoTs. Comparative analysis reveals that the proposed type-II fuzzy membership function-based protocol outperforms the existing protocols in terms of bandwidth analysis, throughput, conserve energy, network lifetime, and average consumed energy.
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