Back close

Wireless remote Sensing, Experimentation, Monitoring and Administration Laboratory

Funded by:Ministry of Human Resource and Development

Start Date :  January 2012 – July 2017

Organization :  Amrita Vishwa Vidyapeetham

Wireless remote Sensing, Experimentation, Monitoring and Administration Laboratory

The project deals with Design and Development  of Multiuser Remote Testbed of  more than 80 IoT wireless sensor nodes that could be operated remotely through the internet for doing hands on experiments to understand various concepts of wireless networks. It also consists of 10 live feed cameras and Heterogeneous sensors sensor types like AC,DC and Digital multimeters connected to the nodes for providing real time video streaming of various  experimentation .Over the air programming for the wireless nodes is developed ,so that nodes could be programmed without any physical connection. The Web GUI on the end user side is used for interaction and live charts are plotted . This project is India’s first of its kind that helps the students, who cannot afford the IoT hardware, to use the testbed and gets hands on expertise on them.

Related Projects

Comparative quantification and bioavailability assessment of Emodin in Kasamardapatra(Cassia occidentalis L. leaf) before and after addition of buttermilk using Caco2 cell lines
Comparative quantification and bioavailability assessment of Emodin in Kasamardapatra(Cassia occidentalis L. leaf) before and after addition of buttermilk using Caco2 cell lines
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Development of high volume fly ash foam concrete wall Panel using rice straw as thermal insulation material
Development of high volume fly ash foam concrete wall Panel using rice straw as thermal insulation material
Methodological AWESOME: AI-Driven Assessment of Vulnerabilities 
Methodological AWESOME: AI-Driven Assessment of Vulnerabilities 
Development of Methodologies for Detection of Digital Contents Plagiarism
Development of Methodologies for Detection of Digital Contents Plagiarism
Admissions Apply Now