Back close

IoT Lab for Remote E-Learning

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

IoT Lab for Remote E-Learning

The Remote Triggered Wireless Sensor Network Lab stands as India’s pioneer in the realm of remote-triggered laboratories within the field of computer science and engineering. While wireless sensor networks (WSN) are gaining global prominence, the absence of e-learning facilities hampers the accessibility and utilization of WSN and IoT applications, particularly in educational institutions. This innovative lab seeks to address this void by offering an interactive and user-friendly web environment accessible to remote students, researchers, and others. The lab can be remotely triggered, providing users with the necessary equipment and materials for engaging in experimental studies.

This laboratory encompasses 12 experiments designed to illustrate key concepts through study materials, animations, interactive simulations, and a remote panel. The remote panel serves as an interface for virtual access and triggering of the hardware components deployed in the lab. While animations and simulations enhance understanding, the practical application of learned concepts is demonstrated through remote experimentation. The outcomes are presented as charts and/or physical representations in the remote panel. The lab features a Wireless Sensor Network (WSN) Testbed employing Memsic micaz motes, incorporating nine sensor networks with over 100 sensor nodes indoors and one sensor network with approximately five motes outdoors. Additional hardware components include 21 Memsic interfacing boards, dielectric moisture sensors, on-board sensors, data acquisition boards, digital multimeters, and a custom-made power supply board to ensure uninterrupted testbed operation. Video streaming of the WSN test bed is facilitated using Flash Media Server.

Publication Details

Related Projects

Optimising Temporal Segmentation of Multi-Modal Non-EEGSignals for Human Stress Analysis
Optimising Temporal Segmentation of Multi-Modal Non-EEGSignals for Human Stress Analysis
Extracts from Deep Sea Marine Organisms
Extracts from Deep Sea Marine Organisms
Development of Laser Surface Texturing technology for automotive application
Development of Laser Surface Texturing technology for automotive application
Furfuryl Derivatives of Meldrum’s Acid: Synthesis, Characterisation and Biological Studies
Furfuryl Derivatives of Meldrum’s Acid: Synthesis, Characterisation and Biological Studies
Barriersand Enablers of Drug Recycling: An Empirical Investigation using COM-B Modelamongst Urban Households of Kerala
Barriersand Enablers of Drug Recycling: An Empirical Investigation using COM-B Modelamongst Urban Households of Kerala
Admissions Apply Now