Industrial IoT (Internet of Things) for Telecom

Purpose:

Constrained by traditional voice and data revenue, CSPs (communication service providers) are looking for new source of revenue from IoT services provided to homes, office and personals. As a result, IoT is becoming the part of new OSS and BSS model.

12 modules, 2 hours each 24 hours, 3 day Course

Summary:

  • Case studies of successful IoT service integration by Telcos
  • Integration of IoT services with OSS
  • New kind of local IoT data/service/connectivity offering
  • Vertical IoT -total service sale vs IoT middleware sale.
  • Integration of IoT sale in BSS
  • Target Audience:

  • Managers responsible for business and operational processes within their respective ORGANIZATION in Telecom/CSPs.
  • Duration:    3 Days ( 8 hours / day).


    Prerequisites:

  • Basic knowledge of business operation, devices, electronics systems and data systems.
  • Basic understanding of software and systems.
  • Basic understanding of Statistics (in Excel levels).

  • Course Outline:  Any number of session ( and thus reduced custom hours and pricing can be requested )


    Session 1: Business Overview of Why IoT is So Important
  • Case Studies from Nest, CISCO and Verizon IoT examples
  • 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 solutons (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 Sensors
  • 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.
  • 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 Demo : SVM based classification for image and video analysis
    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
  • ESIM
  • Managed IoT services in 5G
  • 4G IoT standards for IoT : LTE-M applications, NB-IoT, UNB standard for 3GPP, 4G , LTE CAT-1 IoT
  • 5G IoT standard for IoT : LPWA, eMTC , IMT 2020 5G
  • Detailed architecture of IoT Mobile Modem
  • 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
  • eSIM
  • Mobile commerce
  • Asset Tracking & Management
  • LTE+IOT
  • 4G
  • 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
  • Managed services for the connected cars
  • Demo : Smart METER
    Session 12: PaaS IoT platforms – AWS, Azure, Google
  • Iaas : Infrastructure as a service-evolving models
  • Mechanism of security breach in IOT layer for Iaas
  • Middleware for Iaas business implementation in healthcare, homeautomation and farming
  • Iaas case study for vehicular information for Auto-insurance and Agriculture
  • Paas: Platform as a service in IoT. Case studies of some of the IoT middleware
  • Saas : Software/System as service for IoT business models
  • European and American (NIST) legislation for security in IoT platform
  • Firewalling and IPS
  • Updates and patches via web-OTA mechanism
  • Microsoft IoT Central as an example of PaaS platform
  • Google IoT, AWS IoT PaaS platform
  • Demo : Microsoft IoT Central


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