Sensors and Synchronization in AIoT MODULE
This module provides a foundational overview of Sensors and Wireless Sensor Networks, with a particular emphasis on the importance of synchronizing sensory information to ensure optimal performance of Artificial Intelligence of Things (AIoT) applications. Since AIoT systems rely heavily on Machine Learning algorithms, the accuracy of their predictions, classifications, and related tasks is directly influenced by the quality and timing of the data collected. Through these videos, you will be introduced to key concepts including sensors, wireless sensor networks, essential communication protocols, and the critical role that time synchronization across multiple sensors plays in ensuring reliable and precise AI-driven outcomes.
Open Access Educcation pilot
Lesson Description
Introduction (Lesson 1): Brief introduction of people, POLITO, and motivations for the course.
Keywords: Introduction, Motivations, Fluently, POLITO.
Sensors (Lesson 2): Terms used to define sensors and their definition, the example of the termistor, and a list of sensor types.
Keywords: sensors, definitions, sensor technologies, thermistor, sensor types
Wireless Sensor Networks (Lesson 3): Definition of Wireless Sensor Networks, Use Cases, Characteristics of the Base Station and the Nodes.
Keywords: WSN, base station, nodes, topology, architecture, hardware characteristics.
Wireless Connectivity (Lesson 4): Technologies and protocols allowing connectivity inside Wireless Sensor Networks. WiFi, LoRA, ZigBee, Bluetooth.
Keywords: Connectivity, Protocols, Wireless, WiFi, LoRA, ZigBee, Bluetooth.
Bluetooth Low Energy Applications (Lesson 5): Brief guide on how to use Bluetooth Low Energy to develop your WSN application.
Keywords: Bluetooth Low Energy, Wireless, Properties, Client-Server, Read-Write.
Clock Uncertainties and Consequences (Lesson 6): A mathematical model to represent clocks and their drifts, with an overview of possible consequences when the data is used in Artificial Intelligence algorithms.
Keywords: Time measurement, Clock, drift, offset, clock model, consequences of bad synchronization, AI failures
Our Solution for Time Synchronization (Lesson 7): Presentation of our Wireless Sensor Network architecture, that provides an easy-to-implement synchronization mechanism.
Keywords: solution, synchronization, synchronization protocol
Exercise and Conclusions (Lesson 8): Summary of the content and learning goals. Use cases, discussion of the exercise
Keywords: summary, learning goals, exercise
Learn more
Contact Ernest for more information