分布式传感器网络无线传感器网络和物联网中基于能量优化的聚类协议综述

IF 1.9 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Distributed Sensor Networks Pub Date : 2023-01-13 DOI:10.1155/2023/1362417

Vijayendra K. H. Prasad, S. Periyasamy

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引用次数: 1

摘要

对当今流行主题的研究主要集中在由物联网小工具组成的尖端家庭应用上。作为其主要的传感手段，无线传感器网络是物联网的一个组成部分。跟踪和监控应用程序受益于传感器节点的使用。无线传感器节点执行的数据收集、处理和传输过程中的每一步都需要能量。网络中传感器节点上的小容量电池使得给它们充电常常不切实际。传感器节点需要能量优化，因为除了替换节点之外没有其他选择。在各种路由技术中，聚类是提高传感器节点能量效率的一种众所周知的有效解决方案。因此，使用路由技术来确定簇头节点和基站之间的最近路由，以便管理能量。

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International Journal of Distributed Sensor Networks Energy Optimization-Based Clustering Protocols in Wireless Sensor Networks and Internet of Things-Survey

Research on popular themes today is mainly concentrated on cutting-edge home applications made up of Internet of Things gadgets. As its principal means of sensing, wireless sensor networks are a component of the Internet of Things. Tracking and monitoring applications benefit from the use of sensor nodes. Every step in the data collection, processing, and transmission processes carried out by wireless sensor nodes takes energy. Small capacity batteries on the sensor nodes in the networks make charging them frequently impractical. Energy optimization is required for sensor nodes since there is no other option but to replace the nodes. Clustering is a well-known and effective solution to increase the energy efficiency of the sensor nodes among the various routing techniques. The closest route between the cluster head node and the base station is thus determined using routing techniques in order to manage energy.

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来源期刊

International Journal of Distributed Sensor Networks 工程技术-电信学

CiteScore

6.50

自引率

4.30%

发文量

审稿时长

3.6 months

期刊介绍： International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.