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

被引：7

作者：

Verma, Akshay ^{[1
]}

Kumar, Sunil ^{[1
]}

Gautam, Prateek Raj ^{[1
]}

Kumar, Arvind ^{[1
]}

机构：

[1] Motilal Nehru Natl Inst Technol Allahabad, Dept Elect & Commun Engn, Allahabad, Uttar Pradesh, India

来源：

PEER-TO-PEER NETWORKING AND APPLICATIONS | 2021年 / 14卷 / 06期

关键词：

Wireless sensor network; Network lifetime; Fuzzy logic; Neural-Fuzzy network; Stability period; Clustering; DATA DISSEMINATION; ALGORITHM; PROTOCOL; COMMUNICATION;

D O I：

10.1007/s12083-021-01167-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：3518 / 3539

页数：22

共 31 条

[1]

Alkesh A., 2011, 2011 International Conference on Communication Systems and Network Technologies (CSNT), P198, DOI 10.1109/CSNT.2011.49

[2]

[Anonymous], 2017, 2017 14 IEEE IND COU

[3] Minimizing communication costs in hierarchically-clustered networks of wireless sensors [J].