Workshop on Internet of Things
IMSP, Porto-Novo, Benin
May 26-30, 2014
The workshop will be given at Institut de Mathématiques et de Sciences Physiques (IMSP) de l’Université d’Abomey-Calavi (UAC) in Porto-Novo.
The Internet of Things (IoT) refers to uniquely identifiable objects and their virtual representations in an Internet-like structure. Experts say that there will be nearly 26 billion devices on the Internet of Things by 2020.
Learners grasp new ideas and principles better when they are presented in the “here and now.” Many new concepts can be explained through concrete examples and hands-on experience. The combination of “learning-by-doing” and problem-based learning is an extremely potent method.
IoT describes a system where items in the physical world, and sensors within or attached to these items, are connected to the Internet via wireless and wired Internet connections. These sensors can use various types of local area connections such as RFID, NFC, Wi-Fi, Bluetooth, and Zigbee. Sensors can also have wide area connectivity such as GSM, GPRS, 3G, and LTE. The physical objects that are being connected will possess one or more sensors. Each sensor will monitor a specific condition such as location, vibration, motion and temperature. In IoT, these sensors will connect to each other and to systems that can understand or present information from the sensor’s data feeds.
IoT data differs from traditional computing. The data can be small in size and frequent in transmission. The number of devices, or nodes, that are connecting to the network are also greater in IoT than in traditional PC computing. Machine-to-Machine communications and intelligence drawn from the devices and the network will allow businesses to automate certain basic tasks without depending on central or cloud based applications and services.These attributes present opportunities to collect a wide range of data but also provide challenges in terms of designing the appropriate data networking and security.
To achieve real change, we have to expand boundaries.
This is why we will mix academic rigor with hands-on experimentation.
Morning session
9:00-9:30 Opening ceremony
Roch.H.Glitho, Jules Degila
9:00-10:00 Program on Pollution in Benin
Wabi Marcos
10:30-12:30 Introduction to Wireless Sensor Networks
Antoine Bagula
14:30-15:30 Intro to Middleware for IoT
Roch.H.Glitho
Afternoon Laboratory
15:30-17:30 Setup of IDE, first examples with Arduino, reading data from sensors
Morning session
9:00-11:00 Intro to Arduino and Open Hardware WSN
Antoine Bagula
11:00-12:30 Middleware for IoT: software architecture
Roch.H.Glitho
Afternoon Laboratory
14:00-17:00 Sending data via WiFi, sending data via GPRS
Morning session
9:00-11:00 Intro to WSN Communications
Antoine Bagula
11:00-12:30 Middleware for IoT: software architecture
Roch.H.Glitho
Afternoon Laboratory
Deployment of air quality sensors in the city of Porto-Novo
Marco is a Research Officer at the Abdus Salam International Centre for Theoretical Physics. His research interest is in the use of WSN for Development. He holds a PhD from KTH-The Royal Institute of Technology, Sweden.
He is an Associate Professor of Networking and Telecommunications at the Concordia Institute of Information Systems Engineering (Concordia University, Canada). He is also an adjunct professor at the Institut de Mathématiques et Sciences Physiques (IMSP), University of Abomey-Calavi, Republic of Benin. He holds a PhD from KTH-The Royal Institute of Technology, Sweden.