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            課程目錄:IoT services for Telecom Service Providers培訓
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            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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