Integration of Sensor Networks to IoT for monitoring of Samplings
Megha Milana
, Dr. M Z Kurian
IoT, Sensor Network, Cluster network, Thing Speak Apps
Technology plays a very important role in every fields.This project demonstrates the vital role of technology in agricultural applications.It mainly focuses on bettering each of the building blocks such as sensor networks, coordinate nodes, cloud services, IoT protocols..In the proposed work we are mainly focusing on building more comprehensive state of art cloud extension of WSN through IoT. The research would focus towards bettering each of the current state of art building blocks including but not limited to sensor network, coordinator protocol, data analysis in sensor network, cloud services, IoT protocols and so on. The research goal and objective would also include extensive analysis of the past works and a thorough comparison with proposed techniques. Qualitative and quantitative analysis of the outcome of the methods and thereby justifying the adopted approach would also remain to be primary objective. The important parameters that are considered in the agricultural field like temperature, pressure, moisture to be monitored and predict the changes in the agricultural field . The data can be made available in the cloud for the user’s reference. Internet of Things is a new paradigm of connecting sensor devices to cloud. Using IoT services, one can now connect sensors to internet directly. Using access to cloud one can collect data from the agricultural field. Sensor are placed in the agricultural field. With the help of IoT, all the data will be sent to cloud. The cloud will collects the data from Thing Speak apps and from this apps one can predict and analyze the condition of the field.
"Integration of Sensor Networks to IoT for monitoring of Samplings", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.243 - 248, May-2016, Available :https://ijsdr.org/papers/IJSDR1605048.pdf
Volume 1
Issue 5,
May-2016
Pages : 243 - 248
Paper Reg. ID: IJSDR_160276
Published Paper Id: IJSDR1605048
Downloads: 000347067
Research Area: Engineering
Country: Unknown, Unknown, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave