June 16, 2013

Sensaris has posted the first 2 episodes of our Internet of Things training course.
The courses are accessible via this link (Click on the link below to access the course)

IoT University Access.

The complete schedule is the following:
What the IoT is about,
Technology convergence.

MCUs: Market, types
Serial communication: I2C and SPI
Wired connectivity: Ethernet
Wireless technologies: Bluetooth, Bluetooth Low Energy, Zigbee, WiFi, GPRS/3G, Sigfox, Weightless……….
Power: POE, Batteries,solar energy, energy harvesting, inductive charging.
Power optimisation, latency, range, signal propagation, interference

Platforms: Senspods, Arduino , Raspberry Pi, Over the Air firmware updates,, programming languages, IDE/compilers.
Embedded Software: Contiki, RTOS and others.
Network topologies: Star, mesh.
Real time vs store and forward or on demand access.
Possible Data models.
Security:AES, DES, SSL, man in the middle attacks. Impact on autonomy.
Protocols: IPv4, IPv6 , TCP vs UDP, http, MQTT
Databases: SQL, NoSQL
Cloud storage, big data analysis, scalability, SaaS
Real time technologies: Websockets.
Silos/ interoperability, bridges, SDKs and APIs
Mobile world integration : Smartphone and tablet shares, iPhone / Android opportunities and quirks.
Web technologies: html 5, xml, JSON, GIS
Data Visualisation: User Interface, graphs, mapping, Augmented Reality
Deployment, remote support, fleet management , managing risks and evolution

Value chain and Business models.
User centric cloud based services
Analytical Hierarchy Process for technology selection

• Industry: Data center applications, parcel tracking and monitoring, worker exposure
• Environmental monitoring: Air quality, water quality, radiation
• Meteorological: Barometric pressure, temperature, relative humidity, UV index, wind speed, precipitation etc.
• Agriculture: Soil moisture, leaf wetness etc., greenhouse uses, fresh produce monitoring, wine growing, grain preservation
• Smart homes: Home automation, Energy consumption optimisation, LED lighting, presence detection, indoor air quality.
• Internet of Things for healthcare: Professional services, mHealth, Chronic disease management, quantified self
• Sports and fitness: Real time Heart rate monitoring,HRV, recovery, Inertial sensing for performance optimisation, gait analysis and foot pressure mapping, muscle fatigue
• Smart cities: Museums, lighting, noise mapping, road condition sensors
• New applications: Advertising, Iot and drones. Google talking shoe etc.