Utilizing elevator for wireless sensor data collection in high-rise structure monitoring

Feng Wang, Jiangchuan Liu, Dan Wang
{"title":"Utilizing elevator for wireless sensor data collection in high-rise structure monitoring","authors":"Feng Wang, Jiangchuan Liu, Dan Wang","doi":"10.1109/IWQOS.2011.5931350","DOIUrl":null,"url":null,"abstract":"Recently wireless sensor networks have been widely suggested for Structural Health Monitoring. In such applications, diverse sensor nodes are deployed in a building structure, collecting ambient data such as temperature and strain from various locations and reporting them to a central base station for processing and diagnosing. For today's high-rise structures (e.g., the Guangzhou New TV Tower, a project that we have participated in, peaks at 600m above ground), the extensive vertical dimension creates enormous challenges toward sensor data collection, beyond those addressed in state-of-the-art motelike systems. For example, with a straightforward base station placement, a huge amount of data will accumulate as being relayed to the base station. As such, the sensor nodes close to the base station would quickly run out of energy for relaying the traffic. The accumulated traffic would also saturate the wireless medium, introducing significant interferences and collisions. The extensive height of these building structures, however, make elevators an indispensable component. This motivates us to develop EleSense, a novel high-rise structure monitoring framework that explores using elevators. In EleSense, an elevator is attached with the base station and collects data when it moves across different floors to serve passengers, which can effectively reduce the traffic accumulation and the collection delay. To maximally exploit the benefit, we take a unique angle with the cross-layer design. We present an abstraction of the high-rise structure monitoring problem that exploits elevators, and model it as a joint optimization across link scheduling, packet routing and end-to-end delivery. We propose a centralized algorithm to solve it optimally. We further propose a distributed implementation to accommodate the hardware capability of a sensor node and address other practical issues. We evaluate EleSense through ns-2 simulations and with real configurations from the Guangzhou New TV Tower. The results show that EleSense has a throughput gain of 30.4% to 200.6% over the case without elevators. We also observe a gain of 40.5% to 127.5% over a straightforward 802.11 MAC scheme without the cross-layer optimization. Moreover, EleSense can significantly reduce the communication costs while maintaining excellent fairness with reliable data delivering.","PeriodicalId":127279,"journal":{"name":"2011 IEEE Nineteenth IEEE International Workshop on Quality of Service","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Nineteenth IEEE International Workshop on Quality of Service","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWQOS.2011.5931350","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

Recently wireless sensor networks have been widely suggested for Structural Health Monitoring. In such applications, diverse sensor nodes are deployed in a building structure, collecting ambient data such as temperature and strain from various locations and reporting them to a central base station for processing and diagnosing. For today's high-rise structures (e.g., the Guangzhou New TV Tower, a project that we have participated in, peaks at 600m above ground), the extensive vertical dimension creates enormous challenges toward sensor data collection, beyond those addressed in state-of-the-art motelike systems. For example, with a straightforward base station placement, a huge amount of data will accumulate as being relayed to the base station. As such, the sensor nodes close to the base station would quickly run out of energy for relaying the traffic. The accumulated traffic would also saturate the wireless medium, introducing significant interferences and collisions. The extensive height of these building structures, however, make elevators an indispensable component. This motivates us to develop EleSense, a novel high-rise structure monitoring framework that explores using elevators. In EleSense, an elevator is attached with the base station and collects data when it moves across different floors to serve passengers, which can effectively reduce the traffic accumulation and the collection delay. To maximally exploit the benefit, we take a unique angle with the cross-layer design. We present an abstraction of the high-rise structure monitoring problem that exploits elevators, and model it as a joint optimization across link scheduling, packet routing and end-to-end delivery. We propose a centralized algorithm to solve it optimally. We further propose a distributed implementation to accommodate the hardware capability of a sensor node and address other practical issues. We evaluate EleSense through ns-2 simulations and with real configurations from the Guangzhou New TV Tower. The results show that EleSense has a throughput gain of 30.4% to 200.6% over the case without elevators. We also observe a gain of 40.5% to 127.5% over a straightforward 802.11 MAC scheme without the cross-layer optimization. Moreover, EleSense can significantly reduce the communication costs while maintaining excellent fairness with reliable data delivering.
利用电梯无线传感器采集高层结构监测数据
近年来,无线传感器网络被广泛应用于结构健康监测。在这些应用中,不同的传感器节点部署在建筑结构中,从不同位置收集温度和应变等环境数据,并将其报告给中央基站进行处理和诊断。对于今天的高层建筑(例如,我们参与的广州新电视塔项目,其高度超过地面600米),广泛的垂直尺寸给传感器数据收集带来了巨大的挑战,这超出了最先进的汽车式系统所能解决的问题。例如,对于一个直接的基站放置,在中继到基站时将积累大量的数据。因此,靠近基站的传感器节点将很快耗尽传输流量的能量。累积的通信量也会使无线媒体饱和,造成严重的干扰和碰撞。然而,这些建筑结构的广泛高度使电梯成为不可或缺的组成部分。这促使我们开发EleSense,这是一种探索使用电梯的新型高层结构监测框架。在EleSense中,电梯与基站相连,在不同楼层为乘客服务时收集数据,可以有效减少交通堆积和收集延迟。为了最大限度地发挥效益,我们采用了独特的跨层设计角度。本文对利用电梯的高层结构监控问题进行了抽象,并将其建模为链路调度、分组路由和端到端传输的联合优化。我们提出了一个中心化的算法来最优地解决这个问题。我们进一步提出了一种分布式实现,以适应传感器节点的硬件能力并解决其他实际问题。我们通过ns-2模拟和广州新电视塔的真实配置对EleSense进行了评估。结果表明,与不使用电梯的情况相比,EleSense的吞吐量提高了30.4% ~ 200.6%。我们还观察到,与没有跨层优化的直接802.11 MAC方案相比,增益为40.5%至127.5%。此外,EleSense可以显著降低通信成本,同时保持良好的公平性和可靠的数据传输。
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