• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于无线传感器网络的高能效协作分层 MIMO 聚类方案。

An energy efficient cooperative hierarchical MIMO clustering scheme for wireless sensor networks.

机构信息

School of Electrical Engineering and Computer Science, National University of Sciences and Technology, H-12, Islamabad, Pakistan.

出版信息

Sensors (Basel). 2012;12(1):92-114. doi: 10.3390/s120100092. Epub 2011 Dec 22.

DOI:10.3390/s120100092
PMID:22368459
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3279203/
Abstract

In this work, we present an energy efficient hierarchical cooperative clustering scheme for wireless sensor networks. Communication cost is a crucial factor in depleting the energy of sensor nodes. In the proposed scheme, nodes cooperate to form clusters at each level of network hierarchy ensuring maximal coverage and minimal energy expenditure with relatively uniform distribution of load within the network. Performance is enhanced by cooperative multiple-input multiple-output (MIMO) communication ensuring energy efficiency for WSN deployments over large geographical areas. We test our scheme using TOSSIM and compare the proposed scheme with cooperative multiple-input multiple-output (CMIMO) clustering scheme and traditional multihop Single-Input-Single-Output (SISO) routing approach. Performance is evaluated on the basis of number of clusters, number of hops, energy consumption and network lifetime. Experimental results show significant energy conservation and increase in network lifetime as compared to existing schemes.

摘要

在这项工作中,我们提出了一种节能的分层协作聚类方案,用于无线传感器网络。通信成本是消耗传感器节点能量的关键因素。在提出的方案中,节点在网络层次的每个级别合作形成集群,确保最大的覆盖范围和最小的能量消耗,同时在网络内相对均匀地分配负载。通过协作多输入多输出(MIMO)通信来提高性能,确保在大面积地理区域内的 WSN 部署的能量效率。我们使用 TOSSIM 测试了我们的方案,并将提出的方案与协作多输入多输出(CMIMO)聚类方案和传统的多跳单输入单输出(SISO)路由方法进行了比较。性能是根据簇的数量、跳数、能量消耗和网络寿命来评估的。实验结果表明,与现有方案相比,该方案显著节省了能量,并延长了网络寿命。

相似文献

1
An energy efficient cooperative hierarchical MIMO clustering scheme for wireless sensor networks.一种用于无线传感器网络的高能效协作分层 MIMO 聚类方案。
Sensors (Basel). 2012;12(1):92-114. doi: 10.3390/s120100092. Epub 2011 Dec 22.
2
Cooperative MIMO communication at wireless sensor network: an error correcting code approach.无线传感器网络中的协作 MIMO 通信:一种纠错码方法。
Sensors (Basel). 2011;11(10):9887-903. doi: 10.3390/s111009887. Epub 2011 Oct 20.
3
A new cooperative MIMO scheme based on SM for energy-efficiency improvement in wireless sensor network.一种基于空时分组码的新型协作多输入多输出方案,用于提高无线传感器网络的能源效率。
ScientificWorldJournal. 2014 Feb 20;2014:975054. doi: 10.1155/2014/975054. eCollection 2014.
4
Multi-hop routing-based optimization of the number of cluster-heads in wireless sensor networks.基于多跳路由的无线传感器网络簇头数优化。
Sensors (Basel). 2011;11(3):2875-84. doi: 10.3390/s110302875. Epub 2011 Mar 3.
5
Prolonging the lifetime of wireless sensor networks interconnected to fixed network using hierarchical energy tree based routing algorithm.使用基于分层能量树的路由算法延长与固定网络互连的无线传感器网络的寿命。
ScientificWorldJournal. 2014;2014:158420. doi: 10.1155/2014/158420. Epub 2014 Oct 27.
6
A reliable energy-efficient multi-level routing algorithm for wireless sensor networks using fuzzy Petri nets.使用模糊 Petri 网的无线传感器网络可靠节能多级路由算法。
Sensors (Basel). 2011;11(3):3381-400. doi: 10.3390/s110303381. Epub 2011 Mar 22.
7
Adaptive multi-node multiple input and multiple output (MIMO) transmission for mobile wireless multimedia sensor networks.移动无线多媒体传感器网络中的自适应多节点多输入多输出 (MIMO) 传输。
Sensors (Basel). 2013 Oct 2;13(10):13382-401. doi: 10.3390/s131013382.
8
An energy-efficient and compact clustering scheme with temporary support nodes for cognitive radio sensor networks.一种用于认知无线电传感器网络的具有临时支持节点的节能紧凑型聚类方案。
Sensors (Basel). 2014 Aug 11;14(8):14634-53. doi: 10.3390/s140814634.
9
A clustering protocol for wireless sensor networks based on energy potential field.一种基于能量势场的无线传感器网络聚类协议。
ScientificWorldJournal. 2013 Oct 21;2013:829861. doi: 10.1155/2013/829861. eCollection 2013.
10
Energy efficient gateway based routing with maximized node coverage in a UAV assisted wireless sensor network.基于能量效率的无人机辅助无线传感器网络中最大化节点覆盖的网关路由
PLoS One. 2023 Dec 27;18(12):e0295615. doi: 10.1371/journal.pone.0295615. eCollection 2023.

引用本文的文献

1
Energy-Efficient Transmissions for Remote Wireless Sensor Networks: An Integrated HAP/Satellite Architecture for Emergency Scenarios.用于远程无线传感器网络的节能传输:一种适用于紧急情况的集成高空平台/卫星架构
Sensors (Basel). 2015 Sep 3;15(9):22266-90. doi: 10.3390/s150922266.
2
A novel power efficient location-based cooperative routing with transmission power-upper-limit for wireless sensor networks.一种新颖的基于功率高效的位置合作路由协议,带有无线传感器网络的传输功率上限。
Sensors (Basel). 2013 May 15;13(5):6448-76. doi: 10.3390/s130506448.
3
An overview of data routing approaches for wireless sensor networks.
无线传感器网络的数据路由方法概述。
Sensors (Basel). 2012 Mar 27;12(4):3964-96. doi: 10.3390/s120403964.