Quasi-self-powered Infrastructural Internet of Things: The Mackinac Bridge Case Study
Quasi-self-powered Infrastructural Internet of Things: The Mackinac Bridge Case Study
复制标题
准自供电基础设施物联网:麦基诺大桥案例研究
DOI:
10.1145/3194554.3194622
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Chakrabartty, Shantanu
中科院分区:
文献类型:
--
作者:
Aono, Kenji;Hasni, Hassene;Pochettino, Owen;Lajnef, Nizar;Chakrabartty, Shantanu
Autonomous, continuous and long-term monitoring systems are required to prognosticate failures in civil infrastructures due to material fatigue or extreme events like earthquakes. While current battery-powered wireless sensors can evaluate the condition of the structure at a given instant of time, they require frequent replacement of batteries due to the need for continuous or frequent sampling. On the other hand, self-powered sensors can continuously monitor the structural condition without the need for any maintenance; however, the scarcity of harvested power limits the range at which the sensors could be wirelessly interrogated. In this paper, we propose a quasi-self-powered sensor that combines the benefits of self-powered sensing and with the benefits of battery-powered wireless transmission. By optimizing both of the functionalities, a complete sensor system can be designed that can continuously operate between the structure's maintenance life-cycles and can be wirelessly interrogated at distances that obviates the need for taking the structure out-of-service. As a case study, in this paper we present the design considerations involved in prototyping quasi-self-powered sensors for deployment on the Mackinac Bridge in northern Michigan, with a target operational life span greater than 20 years.
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影响因子:
4.6
作者:
Borchani, Wassim;Aono, Kenji;Chakrabartty, Shantanu
通讯作者:
Chakrabartty, Shantanu
DOI:
10.1109/iscas.2009.5117709
发表时间:
2009
期刊:
2009 IEEE International Symposium on Circuits and Systems
影响因子:
--
作者:
S. Chakrabartty;N. Lajnef
通讯作者:
N. Lajnef
DOI:
10.1109/icsens.2008.4716537
发表时间:
2008
期刊:
2008 IEEE Sensors
影响因子:
--
作者:
P. Pasupathy;M. Zhuzhou;D. Neikirk;S. Wood
通讯作者:
S. Wood
影响因子:
1.1
作者:
Chao;S. Chakrabartty
通讯作者:
S. Chakrabartty
影响因子:
4.3
作者:
N. Lajnef;W. Borchani;R. Burgueño;S. Chakrabartty
通讯作者:
S. Chakrabartty