A Multisource Energy Harvesting Platform for Wireless Methane Sensor
被引:0
作者:
Akbari, Saba
论文数: 0引用数: 0
h-index: 0
机构:
Natl Res Univ, Moscow Aviat Inst, Moscow, RussiaNatl Res Univ, Moscow Aviat Inst, Moscow, Russia
Akbari, Saba
[1
]
论文数: 引用数:
h-index:
机构:
Spirjakin, Denis
[1
]
Sleptsov, Vladimir
论文数: 0引用数: 0
h-index: 0
机构:
Natl Res Univ, Moscow Aviat Inst, Moscow, RussiaNatl Res Univ, Moscow Aviat Inst, Moscow, Russia
Sleptsov, Vladimir
[1
]
Savkin, Alexey
论文数: 0引用数: 0
h-index: 0
机构:
Natl Res Univ, Moscow Aviat Inst, Moscow, RussiaNatl Res Univ, Moscow Aviat Inst, Moscow, Russia
Savkin, Alexey
[1
]
机构:
[1] Natl Res Univ, Moscow Aviat Inst, Moscow, Russia
来源:
ADVANCES IN NETWORK SYSTEMS: ARCHITECTURES, SECURITY, AND APPLICATIONS
|
2017年
/
461卷
关键词:
Multisource energy harvesting;
Energy management;
Combustible gases;
Wireless methane sensor;
Catalytic gas sensor;
GAS SENSOR;
SYSTEM;
D O I:
10.1007/978-3-319-44354-6_19
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Sensors used for detecting combustible gases consume significant amounts of power. Energy management for these sensors can become an important issue when they are used as part of a wireless sensor network. This is because of the fact that wireless sensors are usually powered by batteries. Batteries have a finite lifetime and their replacement can take a considerable amount of time in a gas monitoring application where thousands of sensor nodes are deployed to measure the concentration of flammable gases. Moreover, the battery replacement procedure can turn into a more complicated task if the gas monitoring network is located in a harsh environment. Energy harvesting is a method which can increase the operation time of wireless gas sensor networks. In this article, we present a multisource harvesting circuit for a wireless gas sensor node. As for ambient sources, we have chosen solar and wind energy. Energy from ambient sources is stored in supercapacitors which have a capacity of 400 F. We prove that a catalytic gas sensor can operate for 2 days without batteries by using the developed scheme.
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页码:337 / 350
页数:14
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Uzoh Paul Chiedozie, 2015, Algorithms and Architectures for Parallel Processing. 15th International Conference, ICA3PP 2015. Proceedings: LNCS 9528, P430, DOI 10.1007/978-3-319-27119-4_30
[21]
Uzoh Paul Chiedozie, 2015, Algorithms and Architectures for Parallel Processing. 15th International Conference, ICA3PP 2015. Proceedings: LNCS 9528, P430, DOI 10.1007/978-3-319-27119-4_30