RSSI在多跳无线传感器网络中的数据聚合

A. Awang, Shobhit Agarwal
{"title":"RSSI在多跳无线传感器网络中的数据聚合","authors":"A. Awang, Shobhit Agarwal","doi":"10.1109/WCSP.2013.6677041","DOIUrl":null,"url":null,"abstract":"In Wireless Sensor Networks (WSNs), sensor nodes are often deployed in large quantity and high density. Due to dense deployment, the sensed data are often redundant and highly correlated. Transmitting redundant data is not practical in the resource-constrained WSNs particularly from the viewpoint of energy conservation. Data aggregation offers a key solution to curtail the network loads and hence reduces the transmission energy consumption. In this work, we propose two data aggregation mechanisms (class-based and alpha-based) that aggregate and route data packet based on Received Signal Strength Indicator (RSSI). Each node maintains an RSSI value with respect to a sink node. When a data packet is generated, an aggregation identification (Agg ID) is associated with that packet. Using the RSSI and Agg ID in RSSI-Based Forwarding (RBF), we favor nodes closer to sink when aggregating and relaying a data packet. We show via simulation the performance of the proposed mechanisms in terms of normalized number of transmissions, energy consumed per data packet, network lifetime and packet loss probability.","PeriodicalId":342639,"journal":{"name":"2013 International Conference on Wireless Communications and Signal Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data aggregation using RSSI for multihop Wireless Sensor Networks\",\"authors\":\"A. Awang, Shobhit Agarwal\",\"doi\":\"10.1109/WCSP.2013.6677041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In Wireless Sensor Networks (WSNs), sensor nodes are often deployed in large quantity and high density. Due to dense deployment, the sensed data are often redundant and highly correlated. Transmitting redundant data is not practical in the resource-constrained WSNs particularly from the viewpoint of energy conservation. Data aggregation offers a key solution to curtail the network loads and hence reduces the transmission energy consumption. In this work, we propose two data aggregation mechanisms (class-based and alpha-based) that aggregate and route data packet based on Received Signal Strength Indicator (RSSI). Each node maintains an RSSI value with respect to a sink node. When a data packet is generated, an aggregation identification (Agg ID) is associated with that packet. Using the RSSI and Agg ID in RSSI-Based Forwarding (RBF), we favor nodes closer to sink when aggregating and relaying a data packet. We show via simulation the performance of the proposed mechanisms in terms of normalized number of transmissions, energy consumed per data packet, network lifetime and packet loss probability.\",\"PeriodicalId\":342639,\"journal\":{\"name\":\"2013 International Conference on Wireless Communications and Signal Processing\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Wireless Communications and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSP.2013.6677041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Wireless Communications and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2013.6677041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在无线传感器网络(WSNs)中,传感器节点通常是大量高密度部署的。由于部署密集,感测数据往往是冗余且高度相关的。在资源受限的无线传感器网络中传输冗余数据是不现实的,特别是从节能的角度来看。数据聚合是减少网络负载从而降低传输能耗的关键解决方案。在这项工作中,我们提出了两种数据聚合机制(基于类和基于α),它们基于接收信号强度指示器(RSSI)聚合和路由数据包。每个节点维护一个相对于汇聚节点的RSSI值。当生成数据包时,聚合标识(Agg ID)与该数据包相关联。在基于RSSI的转发(RBF)中使用RSSI和Agg ID,当聚合和转发数据包时,我们倾向于靠近sink的节点。我们通过仿真展示了所提出的机制在标准化传输数、每个数据包消耗的能量、网络寿命和丢包概率方面的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data aggregation using RSSI for multihop Wireless Sensor Networks
In Wireless Sensor Networks (WSNs), sensor nodes are often deployed in large quantity and high density. Due to dense deployment, the sensed data are often redundant and highly correlated. Transmitting redundant data is not practical in the resource-constrained WSNs particularly from the viewpoint of energy conservation. Data aggregation offers a key solution to curtail the network loads and hence reduces the transmission energy consumption. In this work, we propose two data aggregation mechanisms (class-based and alpha-based) that aggregate and route data packet based on Received Signal Strength Indicator (RSSI). Each node maintains an RSSI value with respect to a sink node. When a data packet is generated, an aggregation identification (Agg ID) is associated with that packet. Using the RSSI and Agg ID in RSSI-Based Forwarding (RBF), we favor nodes closer to sink when aggregating and relaying a data packet. We show via simulation the performance of the proposed mechanisms in terms of normalized number of transmissions, energy consumed per data packet, network lifetime and packet loss probability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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