Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
---|---|---|
Article Number | 03048 | |
Number of page(s) | 5 | |
Section | Computing | |
DOI | https://doi.org/10.1051/itmconf/20203203048 | |
Published online | 29 July 2020 |
Power Consumption Optimization in IoT based Wireless Sensor Node Using ESP8266
Department of Electronics and Telecommunication, SIES Graduate School of Technology, Nerul, Navi Mumbai – 400706
* Corresponding author: gaikwadvishal999@gmail.com
In this paper, we present the design and prototype implementation of a weather monitoring system for a college campus powered by a renewable energy source which is based on solar panel for remote applications. The device is powered with the help of rechargeable battery which is recharged through solar energy. Sensors are connected to the device and device uploads these sensor data on cloud with the help of Wi-Fi and internet connection. The main objective of this research is to power this device on renewable energy and continuous sensor data uploading on cloud. To keep device in running mode on battery and to save power deep sleep function of the device is used which consume very less power, which makes it sufficient to run on solar power for long time.
Key words: Power Optimization / IoT Sensor Node / Weather station / Solar Powered Sensor Node
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.