The internet of things (IoT) will transform our everyday life as it enables billions of things to be connected anytime, anyplace, with anything and anyone. Applications span from consumer usage such as smart homes, connected cars and wearable devices to industrial applications covering energy systems, agriculture, mining, transportation, healthcare and more. Covering a wide range of applications, in various environments and serving diverse requirements, means no single technology can effectively address the needs. Wireless communication technologies will play a major role in enabling IoT connectivity including cellular, WLAN, Bluetooth® low energy, ZigBee, Z-Wave, NFC, RFID and more. In addition to the plethora of new applications, IoT is expected to generate big volumes of data from a world of objects constantly exchanging all types of information. Networks will need to carry more information faster, presenting new design and measurement challenges.
(a) The Data Acquisition node: Programmable Microcontroller Board + Sensors (Matlab Module to do the processing of the data and to write the data to Thingspeak).
(b) The Thingspeak Engine or the Cloud Interface to collect and store the data for future reference and/or do various kinds of Visualization.
(c) The Final Control Element : Programmable Microcontroller board + Any Final Control Element (Matlab Module to read the data from Thingspeak and sending Control level instructions/signals to act on the Final element).
(d) End User for Actionable Intervention : Now since one can log in to Thingspeak engine with a User id and Password , so any user can monitor and dictate the actions of the Final Control Element manually. Judging the data, the user would send his decisions to Thingspeak which in turn would communicate to the final node or the final node will read the instructions from Thingspeak. In this case the pre-loaded decision-making criteria by a Matlab module on node ‘c’ will have to be user defined / user dictated. We can show this in form of a MOBILE APP to bring in some real-life effect on the Set-Up. This lab should conclude by setting the expectations for the remainder of the experimental classes to follow.
Wireless Sensor Networks for IoT Applications
Sensors in wireless sensor networks applications are grouped as clusters to inform nodes called sensor nodes. These nodes are typically powered by battery power supply. In IoT applications these nodes must do its function for years without change their batteries. So, the battery lifetime is the most important parameter in the design of sensor nodes for IoT applications. The battery life time in sensor nodes influence by:
Industrial revolution named Internet of Things (IoT).
This revolution collects several sciences and technologies with each other, such as, Data Acquisition, Power Consumption, Wireless Sensor Networks, Radio and Mobile Communications, Data Analytic and Processing, Internet Technology. IoT takes its name from its wide spread applications from wearable fitness trackers to connected cars, spanning the industries of utilities, transportation, healthcare, consumer electronics, and many others.