Neural-Fuzzy based effective clustering for large-scale wireless sensor networks with mobile sink

被引：0
作者：
Akshay Verma
Sunil Kumar
Prateek Raj Gautam
Arvind Kumar
机构：
[1] Motilal Nehru National Institute of Technology Allahabad,Department of Electronics and communication Engineering
来源：
Peer-to-Peer Networking and Applications | 2021年 / 14卷
关键词：
Wireless sensor network; Network lifetime; Fuzzy logic; Neural-Fuzzy network; Stability period; Clustering;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents the versatile approach, called Neural-Fuzzy based Effective Clustering (NFEC), for Large-Scale wireless sensor network (WSN) with Mobile Sink. The proposed protocol NFEC presents the effectiveness of existing approaches with proposed NFEC in terms of stability period and network lifetime for homogeneous and heterogeneous network environment. The NFEC protocol utilizes the concept of Neural-Fuzzy based model to enhance the network performance while considering the effect of random waypoint mobility in Sink/Base Station. The nature of the proposed NFEC is adaptive and can be varied accordingly for homogeneous and heterogeneous scalable WSN. The simulations analyse the performance of NFEC protocol with existing protocols.
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页码：3518 / 3539
页数：21
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