检索结果-内蒙古大学图书馆

CECEHO-GCS: A New Green Energy-Efficient clustering protocol Based on Intelligent Optimization Theory in Industrial IoT

引用

IEEE INTERNET OF THINGS JOURNAL 2025年第8期12卷 10907-10919页

作者： Zhou, Peng Cao, Qike Cao, Bingyu Chen, Wei Jin, Bo Zhao, Fengda Yanshan Univ Sch Informat Sci & Engn Qinhuangdao 066004 Hebei Peoples R China Xinjiang Coll Sci & Technol Sch Informat Sci & Engn Korla 841000 Xinjiang Peoples R China Henan Inst Sci & Technol Xinxiang 453003 Henan Peoples R China Xinjiang Coll Sci & Technol Sch Informat Sci & Engn Korla 841000 Xinjiang Peoples R China Univ Coimbra Inst Syst & Robot Dept Elect & Comp Engn P-3030290 Coimbra Portugal Portuguese Natl Acad Sci P-1600477 Lisbon Portugal

To address the issues of battery dependence, energy consumption, and energy management imbalance in industrial wireless sensor networks (IWSNs), this study proposes a green and energy-saving multiobjective clustering scheme to improve network efficiency and reduce environmental pollution. Given that conventional methods struggle to effectively optimize IWSN clustering, this article specifically designs a novel multiobjective clustering model. During the optimization process, this model comprehensively considers four key performance indicators: 1) total remaining energy, 2) average network delay;3) average network packet loss rate;and 4) average distance from cluster heads (CHs) to the base station (BS), achieving holistic optimization of network performance. To further enhance clustering efficiency and network stability, this article also introduces a green energy-saving scheme based on the chaotic elite clone elephant herding optimization algorithm (i.e., CECEHO-GCS). This scheme ingeniously incorporates chaos operators in the initialization stage to enrich solution diversity and introduces clone and elite operators in the evolution stage, aiming to retain superior solutions and significantly enhance the algorithm's search capabilities. Through comparative experiments with four existing advanced clustering schemes: 1) LEACH-C;2) LEACH-R;3) ESCVAD;and 4) ARSH-FATI-CHS, the model and the algorithm proposed in this article, CECEHO-GCS, demonstrate significant advantages in improving network energy efficiency and service quality. Specifically, CECEHO-GCS has achieved an improvement of at least 19.27% in network lifespan and at least 16.89% in data throughput, opening up new avenues for green energy conservation and sustainable development in IWSNs.

关键词： clustering algorithms Optimization Wireless sensor networks Energy efficiency Energy consumption Green products protocols Production Cloning Delays clustering protocol disposable battery elephant herding optimization green energy-saving industrial wireless sensor network (IWSN)

来源：评论

学校读者我要写书评

暂无评论

A fixed clustering protocol based on random relay strategy for EHWSN

引用

Digital Communications and Networks 2023年第1期9卷 90-100页

作者： Xianquan Luoa Chunjiong Zhang Longju Bai College of Artificial Intelligence Yango UniversityFujian350015China Department of Computer Science Tongji UniversityShanghai201804China College of Engineering Beijing Forestry UniversityBeijing100191China

In Energy Harvesting Wireless Sensor Networks(EHWSN),the communication protocol will directly affect the final performance of the network,so it is necessary to study the communication protocol based on *** this paper,for the low-cost fixed clustering problem,a fixed clustering protocol RRCEH is based on random *** proposed RRCEH abandons the inefficient inter-cluster communication method of the traditional fixed clustering *** coordinate the data upload of the cluster head,RRCEH allocates different random relay vectors to each ring area of the network,and combines all the random relay vectors into a random relay matrix of *** each communication round,the cluster head node randomly selects its relay target node to send data according to the probability distribution in the random relay vector in the *** two different cluster head configuration scenarios,by optimizing the random relay matrix,RRCEH can effectively reduce the network's configuration requirements for cluster head energy harvesting capability,thus reducing the deployment cost of EHWSN.

关键词： Energy harvesting Wireless sensor networks clustering protocol Random relay strategy

来源：评论

学校读者我要写书评

暂无评论

Adaptive decentralized re-clustering protocol for wireless sensor networks

引用

JOURNAL OF COMPUTER AND SYSTEM SCIENCES 2011年第2期77卷 282-292页

作者： Bajaber, Fuad Awan, Irfan Univ Bradford Dept Comp Bradford BD7 1DP W Yorkshire England

Wireless sensor networks are composed of a large number of sensor nodes with limited energy resources. One critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is limited. The clustering algorithm is a technique used to reduce energy consumption. It can improve the scalability and lifetime of wireless sensor network. In this paper, we introduce an adaptive clustering protocol for wireless sensor networks, which is called Adaptive Decentralized Re-clustering protocol (ADRP) for Wireless Sensor Networks. In ADRP, the cluster heads and next heads are elected based on residual energy of each node and the average energy of each cluster. The simulation results show that ADRP achieves longer lifetime and more data messages transmissions than current important clustering protocol in wireless sensor networks. (C) 2010 Elsevier Inc. All rights reserved.

关键词： Wireless sensor networks Adaptive clustering Energy efficiency clustering protocol

来源：评论

学校读者我要写书评

暂无评论

A fault-tolerant energy-efficient clustering protocol of a wireless sensor network

引用

WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2014年第2期14卷 175-185页

作者： Karim, Lutful Nasser, Nidal Sheltami, Tarek Univ Guelph Sch Comp Sci Guelph ON N1G 2W1 Canada Alfaisal Univ Coll Engn Dept Elect & Comp Engn Riyadh Saudi Arabia

Energy efficiency in specific clustering protocols is highly desired in wireless sensor networks. Most existing clustering protocols periodically form clusters and statically assign cluster heads (CHs) and thus are not energy efficient. Every non-CH node of these protocols sends data to the CH in every time slot of a frame allocated to them using the time division multiple access scheme, which is an energy-consuming process. Moreover, these protocols do not provide any fault tolerance mechanism. Considering these limitations, we have proposed an efficient fault-tolerant and energy-efficient clustering protocol for a wireless sensor network. The performance of the proposed protocol was tested by means of a simulation and compared against the low energy adaptive clustering hierarchy and dynamic static clustering protocols. Simulation results showed that the fault-tolerant and energy-efficient clustering protocol has better performance than both the low energy adaptive clustering hierarchy and dynamic static clustering protocols in terms of energy efficiency and reliability. Copyright (c) 2012 John Wiley & Sons, Ltd.

关键词： wireless sensor network clustering protocol DSC LEACH LESCS FT-EEC fault-tolerant

来源：评论

学校读者我要写书评

暂无评论

Energy efficient clustering protocol to enhance lifetime of wireless sensor network

引用

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2010年第4期1卷 239-248页

作者： Bajaber, Fuad Awan, Irfan Univ Bradford Sch Comp Informat & Media Networks & Performance Engn Res Grp Bradford BD7 1DP W Yorkshire England

A sensor node is a tiny device that includes a sensing subsystem, a processing subsystem and a wireless communication subsystem. The sensor nodes have limited resources in terms of memory, energy and computational resources. clustering has been proposed by researches to group a number of nodes to form a cluster that managed by cluster head. However, most existing clustering protocols consume large amount of energy due to cluster formation overhead and cluster head responsibilities. We proposed an energy efficient clustering protocol (EECPL) to enhance lifetime of wireless sensor networks. The main goal of EECPL is to distribute the energy load among all sensor nodes to minimize the energy consumption and maximize the network lifetime of wireless sensor networks. EECPL organizes sensor nodes into clusters and uses ring topology to send data packets so that each sensor node receives data from a previous neighbor and transmits data to a next neighbor. Upon receiving the aggregated data from previous neighbors, cluster senders transmit the aggregated data to the base station. EECPL is shown to achieve significant energy savings, balance the energy consumption among sensor nodes and reduce communication overhead.

关键词： Sensor networks Energy efficiency clustering protocol

来源：评论

学校读者我要写书评

暂无评论

Hierarchical distributed management clustering protocol for wireless sensor networks

引用

TELECOMMUNICATION SYSTEMS 2017年第1期65卷 193-214页

作者： Shahraki, Amin Rafsanjani, Marjan Kuchaki Saeid, Arsham Borumand Ostfold Univ Coll Fac Comp Sci Halden Norway Shahid Bahonar Univ Kerman Fac Math & Comp Dept Comp Sci Kerman Iran Shahid Bahonar Univ Kerman Fac Math & Comp Dept Pure Math Kerman Iran

In recent years, there has been a marked increase in the use of wireless sensor networks in various environments such as crisis areas, military operations, and monitoring systems. These networks do not use a fixed network infrastructure and therefore they are a popular choice for highly dynamic environments. One of the main concerns in these networks is the topology management issue, which the clustering method is a subfield for that. The main objective of clustering methods is optimizing the energy consumption. This paper proposes a new clustering protocol, which uses many parameters such as the activity history of each node, local and general state of nodes and their resources condition to determine the best cluster heads and members of each cluster that can increase the network lifetime, fair resource consumption and network coverage.

关键词： Wireless sensor network (WSN) clustering protocol Hierarchical management Distributed management Energy consumption Multi-hop clustering

来源：评论

学校读者我要写书评

暂无评论

Blockchain abetted energy efficient archerfish hunting and Namib Beetle optimization algorithm espoused clustering protocol for wireless sensor network

引用

PEER-TO-PEER NETWORKING AND APPLICATIONS 2024年第6期17卷 3934-3947页

作者： Kiran, W. S. Wilson, Allan J. Ranganathan, G. Amrita Coll Engn & Technol Dept Elect & Commun Engn Nagercoil Tamil Nadu India Thamirabharani Engn Coll Tirunelveli Tamil Nadu India

Security and energy efficiency are regarded as the significant problems in the pervasive wireless networks. Since widespread wireless networks rely on battery-operated nodes, it is necessary to progress an energy-efficient scheme to lower energy consumption and increase the networks lifespan. The existing approaches fail to accomplish both objectives at the same time. Therefore, this paper proposes a Blockchain abetted Energy Efficient Archerfish Hunting and Namib Beetle Optimization Algorithm espoused clustering protocol for Wireless Sensor Network (BC-EEAHNBOA-CP-WSN). The proposed method operates in two phases: (i) determining the optimal cluster heads, (ii) determining the optimal trust path. The Archerfish Hunting Optimizer and Namib Beetle Optimization Algorithm are used to precisely select the cluster heads, while the optimized trust paths are secured using blockchain technology. This paper combines the development of Energy Efficient Archerfish Hunting and Namib Beetle Optimization Algorithm (EEAHNBOA) with blockchain-enabled secure data transmission, introduces a clustering method based on AFHO-NBOA for efficient cluster head selection using a fitness function that incorporates energy, node density, neighboring nodes' distance, and sink distance, and ensures safe data transfer between cluster members and cluster heads using blockchain. The proposed BC-EEAHNBOA-CP-WSN approach is executed in MATLAB 2018a, its effectiveness is examined using metrics. The results demonstrate that the proposed method achieves a 23.31%, 45.16%, and 18.72% higher packet delivery ratio, and a 15.56%, 47.31%, and 19.96% longer network lifetime compared to existing methods. By fusing blockchain technology with sophisticated optimization algorithms, this research advances the state of the art by improving WSN security and energy efficiency. The implications of this work suggest significant improvements in the lifespan and reliability of wireless sensor networks, which are crucial for

关键词： Blockchain clustering protocol Wireless sensor networks Archerfish hunting optimizer

来源：评论

学校读者我要写书评

暂无评论

Analysis of a Network Stability-Aware clustering protocol for Cognitive Radio Sensor Networks

引用

IEEE INTERNET OF THINGS JOURNAL 2021年第15期8卷 12476-12477页

作者： Shakhov, Vladimir Koo, Insoo Univ Ulsan Dept Elect Elect & Comp Engn Ulsan 680749 South Korea

Cognitive radio is becoming an increasingly important component of Internet of Things technologies, because it improves spectrum efficiency and provides a way to overcome the challenge of excessive demand for wireless communications. Research and development of cognitive radio communication systems are timely and helpful. Recently, Zheng et al. proposed a network stability-aware clustering protocol for cognitive radio sensor networks. In this letter, we discuss its fatal flaws, as well as ways to overcome them.

关键词： protocols Measurement Cognitive radio Internet of Things Stability criteria Reliability Indexes clustering protocol cognitive radio Internet of Things (IoT) wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

NSAC: A Novel clustering protocol in Cognitive Radio Sensor Networks for Internet of Things

引用

IEEE INTERNET OF THINGS JOURNAL 2019年第3期6卷 5864-5865页

作者： Zheng, Meng Chen, Si Liang, Wei Song, Min Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang 110016 Liaoning Peoples R China Chinese Acad Sci Shenyang Inst Automat Key Lab Networked Control Syst Shenyang 110016 Liaoning Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Shenyang Inst Engn Coll Informat Shenyang 110136 Liaoning Peoples R China

clustering is an effective method to manage communications in cognitive radio sensor networks (CRSNs). This letter proposes a network stability-aware clustering (NSAC) protocol for CRSNs. Spectrum dynamics and energy consumption are for the first time simultaneously integrated into the protocol design of NSAC. Extensive simulations show that the proposed NSAC protocol obviously outperforms existing methods in the aspects of network stability and energy consumption.

关键词： clustering protocol cognitive radio Internet of Things wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

A New Energy Efficient clustering protocol for a Novel Concentric Circular Wireless Sensor Network

引用

WIRELESS PERSONAL COMMUNICATIONS 2018年第3期103卷 2455-2473页

作者： Chithra, A. Kumari, R. Shantha Selva KLNCIT ECE Dept Sivagangai Pottapalayam India Mepco Schlenk Engn Coll ECE Dept Sivakasi India

Researchers concentrate on big data. Wireless sensor network is one of the sources of big data. Wireless sensor network has hundreds of sensor nodes with limited energy and computational capability. clustering is a technique used to reduce the energy expended and extend the network lifetime. Generally, nodes are deployed in a square network field. The nodes at the edges of the network have to transmit longer distance to the sink than the nodes at the sides. This depletes the node energy and reduces the network lifetime. Our proposed work Efficient Energy Heterogeneous Circular field clustering protocol (EEHCCP), deploys two tier energy heterogeneity nodes: normal and advance nodes in different zones of concentric circular network field. A hybrid direct and clustered communication in a circular network field has increased the network lifetime and throughput of the sensor network. The network lifetime and throughput of EEHCCP is better than SEP, DEEC and EDEEC. Also, performance metric of heterogeneous clustered EEHCCP is compared with Efficient Energy Homogeneous Circular field protocol with no clustering.

关键词： clustering protocol Circular network field Energy heterogeneity Network lifetime Throughput Wireless sensor network

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：