Design Article
Vibration energy harvesting for wireless sensor networks: Assessments and perspectives
Sebastien Boisseau and Ghislain Despesse, CEA-Leti
4/12/2012 10:13 AM EDT
Thanks to the reduction of circuit sizes and progress in microelectronics, basic electronic functions are consuming less and less power, allowing us to use a new ecological and durable supply source for wireless sensor networks (WSN): ambient energy, including sun, temperature and vibration.
Wireless sensor networks: goals and needs
Today, one of the goals of researchers and R&D engineers is to develop sensor networks able to collect data from their surrounding environment. WSN (Figure 1a) are made of several sensor nodes (Figure 1b); each node is able to get information from its environment (temperature, vibrations, light, etc.), to turn it into numeric data and to send it to a base station. Many fields, such as transportation, industry and aeronautics, have a strong interest in developing and using WSN to increase their productivity (real-time monitoring), reduce their costs or limit machine downtimes (predictive maintenance).

Batteries can power those devices for a limited time. Another solution consists in using energy harvesting (EH), aimed at converting ambient energy into electricity. This green technology also gives a theoretically unlimited lifetime to sensor nodes, in contrast with batteries.
Unfortunately, the power output of micro energy harvesters (Eh) is generally limited to some tens or hundreds of microwatts and the power consumption of RF-emitters or microcontrollers can reach some tens of milliwatts, banning a continuous running mode and implying intermittent measuring and data sending. Therefore, in EH and autonomous WSN, it is more appropriate to look at energy consumption for one measure instead of power consumption.
Also, it should be noted that the value 500µJ is a key number for WSN. This value corresponds to the needed energy to get a piece of information from the environment (temperature, humidity, etc.), to convert it into numeric data with an analog-to-digital converter (ADC) and to send it using standard protocols such as Bluetooth Low Energy or Zigbee. This energy could be reduced to some tens of µJ in the near future.
Therefore, functioning mode of EH-powered WSN can be summed up as follows (Figure 2): the energy harvesting device harvests power from its environment and stores it in a buffer (capacitor, battery) (1); µC, sensor and emitter are in standby and consume about 5µW. Measurement (2) and emission (3) are performed when enough energy is stored in the buffer. Buffer is emptied; system returns to standby, waiting for a new measurement cycle (4).

Wireless sensor networks: goals and needs
Today, one of the goals of researchers and R&D engineers is to develop sensor networks able to collect data from their surrounding environment. WSN (Figure 1a) are made of several sensor nodes (Figure 1b); each node is able to get information from its environment (temperature, vibrations, light, etc.), to turn it into numeric data and to send it to a base station. Many fields, such as transportation, industry and aeronautics, have a strong interest in developing and using WSN to increase their productivity (real-time monitoring), reduce their costs or limit machine downtimes (predictive maintenance).

Figure 1: a) WSN and b) EH-powered sensor node
Batteries can power those devices for a limited time. Another solution consists in using energy harvesting (EH), aimed at converting ambient energy into electricity. This green technology also gives a theoretically unlimited lifetime to sensor nodes, in contrast with batteries.
Unfortunately, the power output of micro energy harvesters (Eh) is generally limited to some tens or hundreds of microwatts and the power consumption of RF-emitters or microcontrollers can reach some tens of milliwatts, banning a continuous running mode and implying intermittent measuring and data sending. Therefore, in EH and autonomous WSN, it is more appropriate to look at energy consumption for one measure instead of power consumption.
Also, it should be noted that the value 500µJ is a key number for WSN. This value corresponds to the needed energy to get a piece of information from the environment (temperature, humidity, etc.), to convert it into numeric data with an analog-to-digital converter (ADC) and to send it using standard protocols such as Bluetooth Low Energy or Zigbee. This energy could be reduced to some tens of µJ in the near future.
Therefore, functioning mode of EH-powered WSN can be summed up as follows (Figure 2): the energy harvesting device harvests power from its environment and stores it in a buffer (capacitor, battery) (1); µC, sensor and emitter are in standby and consume about 5µW. Measurement (2) and emission (3) are performed when enough energy is stored in the buffer. Buffer is emptied; system returns to standby, waiting for a new measurement cycle (4).

Figure 2: WSN measurement cycle
(Click on image to enlarge)
(Click on image to enlarge)
As this measurement chain uses microcontrollers and electronic devices, supply voltage must be controlled and equal to about 3V; an electrical-electrical converter at energy harvester (Eh) output is therefore essential since Eh output vary through time and is not necessarily equal to 3V. This converter is also aimed at maximizing power extraction from Eh (e.g. MPPT). As a consequence, EH-based supply source can be represented as follows (Figure 3):

Figure 3: EH-based supply source
Many ambient sources, including light and temperature gradients, and the way to turn them into electricity are currently under investigation; we focus here on vibration energy harvesting (VEH), particularly suitable for machines, motors, pipes etc.
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docdivakar
4/18/2012 11:30 AM EDT
I wish figures were hyperlinked to their larger size versions; figure 2 which is an important one to understand is unreadable; same problems with figure 5, and 7.
I did like the authors' tripartite approach the energy harvesting and utilization problem.
Surely, the approach can be extended to multiple spring mass systems; such an ensemble has the advantage of not needing fine tuning to optimize a system as long as the bounds of the dominant resonant frequencies are known.
MP Divakar
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anne-francoise.pele
7/16/2012 11:25 AM EDT
Dear DocDivakar,
You can now click on Figures 2, 5 and 7 to getter a larger and more readable view.
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anne-francoise.pele
7/16/2012 11:25 AM EDT
FYI, Stephane Boisseau and Ghislain Despesse at the CEA-Leti (France) also contributed the article, entitled: "Energy harvesting, wireless sensor networks & opportunities for industrial applications".
The link to the article is: http://www.eetimes.com/design/smart-energy-design/4237022/Energy-harvesting--wireless-sensor-networks---opportunities-for-industrial-applications
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anne-francoise.pele
7/20/2012 5:18 PM EDT
Click on the link below to check out the collection of the Design Articles, Case Studies, Product How-To articles, Teardowns, etc... related to energy scavenging that have been published on Smart Energy Designline.
Click here: http://www.eetimes.com/design/smart-energy-design/4372778/Energy-harvesting---Design-archive
Check back frequently. The list will be updated as new articles arrive.
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docdivakar
10/8/2012 12:32 PM EDT
@anne-francoise.pele; I appreciate the follow up and the links (& the larger versions of figures in the article!).
The need for cost-effective energy harvesting sensor nodes can not be overstated and is critical to deploying sensor networks for infrastructure monitoring.
MP Divakar
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Sebastien Boisseau
11/5/2012 3:51 AM EST
FYI : more information on Electrostatic and electret-based energy harvesters : http://www.intechopen.com/books/small-scale-energy-harvesting/electrostatic-conversion-for-vibration-energy-harvesting
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iniewski
1/30/2013 4:04 PM EST
Sebastien, great articles...would you be interested in presenting this topic at emerging technologies symposium in Grenoble? www.cmosetr.com, kris.iniewski@gmail.com
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