Ultra low power capacitive sensor interface with smart energy management

Author(s):  
W. Bracke ◽  
P. Merken ◽  
R. Puers ◽  
C. Van Hoof
Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 978 ◽  
Author(s):  
Pierpaolo Loreti ◽  
Alexandro Catini ◽  
Massimiliano De Luca ◽  
Lorenzo Bracciale ◽  
Gabriele Gentile ◽  
...  

Energy management is a key issue in the design of long-lived wireless sensor networks. (WSNs). Energy is used to collect data by sensors and to communicate it to other nodes and to the gateways. The energy management procedures aim at minimizing the energy consumption of both the data acquisition and transmission activities. A careful design is crucial when the devices are powered by energy harvesting techniques, such as solar power. This paper describes a device architecture for a WSN node designed to monitor the habit of pink iguanas: a recently discovered species living in remote locations at the Galápagos Islands. The few individuals of this species live in a relatively small area (around 25 km2 on top of Volcano Wolf, Isla Isabela) that lacks of any available communication infrastructure. The design combines an ultra low power sleep mode and a long range communication capability that requires a very high power consumption.


Author(s):  
Wouter Bracke ◽  
Robert Puers ◽  
Chris Van Hoof

Author(s):  
Gabriel Filios ◽  
Ioannis Katsidimas ◽  
Sotiris Nikoletseas ◽  
Alexandros Souroulagkas ◽  
Paul Spirakis ◽  
...  

2019 ◽  
Vol 1 (6) ◽  
pp. 55-60
Author(s):  
Sri Vidhya D ◽  
Gomathi S ◽  
Venkatesan T

Pollution due to fuel-based vehicles can be controlled by renewable energy-based vehicles. In this project solar based electrical skate scooter was proposed. Solar based electrical skate scooter was designed with a motor coupled with wheel Motor runs with a help of a battery.  Battery was charged with the solar power from solar panel fitted in the scooter. Use of a smart energy management system with solar power charging the battery reduces the pollution. The whole setup was interconnected with ARDUNIO for monitoring. The parameters such as speed, battery level and battery status (Charging/Discharging/low power/full power) was sensed and monitored by ARDUNIO. Data was processed and was transferred to the cloud with using the NodeMCU module. The data is stored in the cloud which can be received by the receiver section, which is mobile phone or laptop.


Sign in / Sign up

Export Citation Format

Share Document