An IPv6-Based Traffic Balancing Scheme for Multiple Mobile Data Collectors in Wireless Sensor Networks

Wanming Luo, Baoping Yan, Jiliang Wu
{"title":"An IPv6-Based Traffic Balancing Scheme for Multiple Mobile Data Collectors in Wireless Sensor Networks","authors":"Wanming Luo, Baoping Yan, Jiliang Wu","doi":"10.1109/CYBERC.2010.25","DOIUrl":null,"url":null,"abstract":"The converge cast traffic pattern ???many-to-one data communication??? of wireless sensor networks leads to high load at nodes that are aggregating data. Therefore, we need to distribute the entire traffic load by deploying multiple data collectors and each node should select a collector node to access. Additionally, with the progress of IPv6-based wireless sensor networks, advantages of IPv6 protocols can be considered to address the above problem. In this paper, we propose an IPv6-based traffic balancing scheme for multiple mobile data collectors in wireless sensor networks, which can distribute the traffic load on multiple mobile data collectors based on IPv6 any cast and pseudo-mobility (IPv6APM). The scheme has the advantages of seamless compatibility with current protocol, higher scalability, short delay time, no topological constraint compared to other approaches. We also present our simulation work and discuss performance comparison between the scheme and other load balancing mechanisms. The results show that the scheme has very advanced performance and scalability.","PeriodicalId":315132,"journal":{"name":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERC.2010.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The converge cast traffic pattern ???many-to-one data communication??? of wireless sensor networks leads to high load at nodes that are aggregating data. Therefore, we need to distribute the entire traffic load by deploying multiple data collectors and each node should select a collector node to access. Additionally, with the progress of IPv6-based wireless sensor networks, advantages of IPv6 protocols can be considered to address the above problem. In this paper, we propose an IPv6-based traffic balancing scheme for multiple mobile data collectors in wireless sensor networks, which can distribute the traffic load on multiple mobile data collectors based on IPv6 any cast and pseudo-mobility (IPv6APM). The scheme has the advantages of seamless compatibility with current protocol, higher scalability, short delay time, no topological constraint compared to other approaches. We also present our simulation work and discuss performance comparison between the scheme and other load balancing mechanisms. The results show that the scheme has very advanced performance and scalability.
基于ipv6的无线传感器网络中多移动数据采集器流量均衡方案
汇聚投流模式??多对一数据通信??无线传感器网络导致聚合数据的节点负载过高。因此,我们需要通过部署多个数据采集器来分配整个流量负载,每个节点应该选择一个采集器节点进行访问。另外,随着基于IPv6的无线传感器网络的发展,可以考虑IPv6协议的优势来解决上述问题。本文提出了一种基于IPv6的无线传感器网络中多个移动数据采集器的流量均衡方案,该方案可以基于IPv6任意转换和伪迁移(IPv6APM)将流量负载分配到多个移动数据采集器上。与其他方法相比,该方案具有与现有协议无缝兼容、可扩展性高、延迟时间短、无拓扑约束等优点。我们还介绍了我们的仿真工作,并讨论了该方案与其他负载均衡机制的性能比较。结果表明,该方案具有很高的性能和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信