Hitch hiker: a remote binding model with priority based data aggregation for wireless sensor networks

G. Ramachandran, Wilfried Daniels, J. Proença, Sam Michiels, W. Joosen, D. Hughes, Barry Porter
{"title":"Hitch hiker: a remote binding model with priority based data aggregation for wireless sensor networks","authors":"G. Ramachandran, Wilfried Daniels, J. Proença, Sam Michiels, W. Joosen, D. Hughes, Barry Porter","doi":"10.1145/2737166.2737179","DOIUrl":null,"url":null,"abstract":"The aggregation of network traffic has been shown to enhance the performance of wireless sensor networks. By reducing the number of packets that are transmitted, energy consumption, collisions and congestion are minimised. However, current data aggregation schemes restrict developers to a specific network structure or cannot handle multi-hop data aggregation. In this paper, we propose Hitch Hiker, a remote component binding model that provides for multi-hop data aggregation. Hitch Hiker uses component meta-data to discover remote support component bindings and to construct a multi-hop overlay network within the free payload space of existing traffic flows. This overlay network provides end-to-end routing of low-priority traffic while using only a small fraction of the energy of standard communication. We have developed a prototype implementation of Hitch Hiker for the LooCI component model. Our evaluation shows that Hitch Hiker consumes minimal resources and that using Hitch Hiker to deliver low-priority traffic reduces energy consumption by up to 15%.","PeriodicalId":359460,"journal":{"name":"2015 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering (CBSE)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 18th International ACM SIGSOFT Symposium on Component-Based Software Engineering (CBSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2737166.2737179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The aggregation of network traffic has been shown to enhance the performance of wireless sensor networks. By reducing the number of packets that are transmitted, energy consumption, collisions and congestion are minimised. However, current data aggregation schemes restrict developers to a specific network structure or cannot handle multi-hop data aggregation. In this paper, we propose Hitch Hiker, a remote component binding model that provides for multi-hop data aggregation. Hitch Hiker uses component meta-data to discover remote support component bindings and to construct a multi-hop overlay network within the free payload space of existing traffic flows. This overlay network provides end-to-end routing of low-priority traffic while using only a small fraction of the energy of standard communication. We have developed a prototype implementation of Hitch Hiker for the LooCI component model. Our evaluation shows that Hitch Hiker consumes minimal resources and that using Hitch Hiker to deliver low-priority traffic reduces energy consumption by up to 15%.
顺风车:无线传感器网络中基于优先级数据聚合的远程绑定模型
网络流量的聚合已被证明可以提高无线传感器网络的性能。通过减少传输的数据包数量,可以将能耗、碰撞和拥塞降至最低。然而,目前的数据聚合方案将开发人员限制在特定的网络结构中,或者无法处理多跳数据聚合。在本文中,我们提出了一个远程组件绑定模型Hitch Hiker,它提供了多跳数据聚合。Hitch Hiker使用组件元数据来发现远程支持组件绑定,并在现有流量的自由有效负载空间内构建多跳覆盖网络。这种覆盖网络提供低优先级流量的端到端路由,同时只使用标准通信能量的一小部分。我们已经为LooCI组件模型开发了Hitch Hiker的原型实现。我们的评估表明,顺风车消耗的资源最少,使用顺风车提供低优先级的交通可减少高达15%的能源消耗。
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:604180095
Book学术官方微信