Session 1: Business Overview of Why IoT is So Important
Case Studies from Nest, CISCO and top industries
IoT adaptation rate in North American & and how they are aligning their future business model and operation around IoT
Smart City
Energy and cost optimization
Connected Car and parking
IoT healthcare
Business Rule Generation for IoT
3 layered architecture of Big Data — Physical (Sensors), Communication, and Data Intelligence
Session 2: IoT Revenue model for Telecos /IoT adoption to Telco
Connectivity only service – providing SIM inside device, providing special data service for connected device
Third Party vertical IoT integration - In this approach, the operator partners with a provider of IoT/M2M solutions (solutions that typically comprise hardware and software), reselling the solution, often under its own brand to its own customers. Example applications in this category are fleet management or ePOS systems. Illustrations include Masternaut’s partnerships with Telefonica, Swisscom and KPN. In each case, the Masternaut application and device is sold and supported by the telecoms operator, which uses its own brand.
Selling internal product : The third approach is for an operator to sell its own solution in selected vertical markets, either developed internally or gained through acquisition and to control the service end to end. Vodafone and Verizon have followed this approach through acquisition (of Cobra and Hughes Telematics respectively) and a number of operators have also developed small, often bespoke, products internally.
Providing broad menu of M2M services : an operator could concentrate on what common elements it can provide for multiple vertical markets. These could include traditional operator strengths, such as connectivity, but also reach into different areas, such as hosting, support and application enablement.
Session 3: Introduction to IoT : All About SensorsL
Basic function and architecture of a sensor — sensor body, sensor mechanism, sensor calibration, sensor maintenance, cost and pricing structure, legacy and modern sensor network — all the basics about the sensors
Development of sensor electronics — IoT vs legacy, and open source vs traditional PCB design style
Development of sensor communication protocols — history to modern days. Legacy protocols like Modbus, relay, HART to modern day Zigbee, Zwave, X10,Bluetooth, ANT, etc.
Different Kind of Calibration Techniques — manual, automation, infield, primary and secondary calibration — and their implication in IoT
Powering options for sensors — battery, solar, Witricity, Mobile and PoE
Hands on training with single silicon and other sensors like temperature, pressure, vibration, magnetic field, power factor etc.
Demo : Logging data from a temperature sensor
Session 4: Fundamentals of M2M Communication : Sensor Network and Wireless Protocols
What is a sensor network? What is ad-hoc network?
Wireless vs. Wireline network
WiFi- 802.11 families: N to S — application of standards and common vendors.
Zigbee and Zwave — advantage of low power mesh networking. Long distance Zigbee. Introduction to different Zigbee chips.
Bluetooth/BLE: Low power vs high power, speed of detection, class of BLE. Introduction of Bluetooth vendors & their review.
Creating network with Wireless protocols such as Piconet by BLE
Protocol stacks and packet structure for BLE and Zigbee
Other long distance RF communication link
LOS vs NLOS links
Capacity and throughput calculation
Application issues in wireless protocols — power consumption, reliability, PER, QoS, LOS
Sensor networks for WAN deployment using LPWAN. Comparison of various emerging protocols such as LoRaWAN, NB-IoT etc.
Hands on training with sensor network
Demo : Device control using BLE
Session 5: Introduction to Mobile App & IoT PAAS Platform
Protocol stack of Mobile app for IoT
Mobile to server integration –what are the factors to look out
What are the intelligent layer that can be introduced at Mobile app level ?
Microsoft Azure IoT
Amazon AWS-IoT
Web Interfaces for Mobile Apps ( REST/WebSockets)
IoT Application layer protocols (MQTT/CoAP)
Security for IoT middleware- Keys, Token and random password generation for authentication of the gateway devices.
Demo : Mobile app for tracking IoT enabled trash cans/ AWS IoT demo using a MEMS sensor for ambient and motion tracking
Session 6: Machine Learning for Intelligent IoT
Introduction to Machine learning
Learning classification techniques
Bayesian Prediction-preparing training file
Support Vector Machine
Predicting failure of the machines -vibrational analysis
Current signature analysis
Time series data and prediction
IoT data visualization
Security alarms
Demo : Using KNN Algorithm for regression analysis
SVM based classification for image and video analysisDemo :
Session 7: IoT Connectivity service by CSP
low cost of connectivity modules and data transmission
low energy consumption
Wide area coverage
Efficient scalability
Diversity
Providing IoT connectivity rural /remote areas -LPWAN, LoRATM
New 3GPP standard
Case studies
Session 8: 5G and IoT service
Orthogonal multiplex access in 1-4G-why Orthogonal TDM is not good for IoT service connectivity
Non-orthogonal multiplex access for IoT services-why does it work better for IoT services
Unified framework for connectivity in Smart City environment & 5G
Non-orthogonal access to Massive MIMO, Cloud radio access network, full duplexing
Session 9: Security in IoT Implementation
Why security is absolutely essential for IoT
Mechanism of security breach in IOT layer
Privacy enhancing technologies
Fundamental of network security
Encryption and cryptography implementation for IoT data
Security standard for available platform
European legislation for security in IoT platform
Secure booting
Device authentication
Firewalling and IPS
Updates and patches
Session 10: Case study of Verizon IoT offering
Telematics
Mobile commerce
Asset Tracking & Management
4G LTE+IOT
Things Space for IoT Development / Providing IoT platform SAAS /IAAS/PAAS service
Session 11: A few Common IoT system that TELCOS are selling
Energy Metering – Smart meters
Home automation / Temp control/ Security
Smart Watch
Smart Health
Smart Camera
Demo : Smart METER
Session 12: Big Data for IoT
4V- Volume, velocity, variety and veracity of Big Data
Why Big Data is important in IoT
Big Data vs legacy data in IoT
Hadoop for IoT-when and why?
Storage technique for image, Geospatial and video data
Distributed database- Cassandra as example
Parallel computing basics for IoT
Demo : Apache Spark
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