Courses

IoT – Technologies and Applications

By December 23, 2020 No Comments

Course Objectives

This course provides an overview and insight of the Internet of Things (IoT) concepts, standards, technologies and applications. You will learn how to:

  • Describe IoT architecture, enabling technology and solutions
  • Understand IoT applications and services
  • Analyze IoT case studies and strategies

Contents

  1. IoT, Internet of Things Overview

Terms and Acronyms (to be used as backup slides)

Introduction

Definitions

Type of Devices

IoT history and evolution

Heterogeneous Networks

Machine to Machine

IoT Technologies and Applications

Why IoT?

  • IoT Market Trends / Predictions
  • Research Outcomes (indicative list)
  • Vendors / Network Operators (indicative list)
  1. IoT Enabling Technology (1,5h)

Big data

Big Data Analytics

  • NoSQL
  • HAdoop

What makes IoT possible?

  • Backend Systems
  • Cloud Computing
  • SDN and NFV
  • Artificial Intelligence
  • Data transmission technologies (network)
  • 2G/3G/LTE
  • Wired/Wireless Ethernet
  • Satellite
  • Front End Devices / Technologies
  • DSPs and GPPs
  • SoC
  • M2M
  • Sensing technologies

Wearables

NFCs and other SRCs

  • Industrial Internet
  1. Standardization

IoT reference model

International and Regional SDO

Industrial

Other bodies

IoT Key Standards

  1. The Internet of Things – Software agents and Cloud services

Agents (examples)

Distributed Intelligence

Centralized Intelligence

Clouds – Private clouds

Enterprise Agents

Agents and clouds

Clouds and Services

Cloud based IoT platforms

IoT Platforms and Platform Providers:

  • Cisco – Jasper
  • IBM – Watson
  • Amazon – AWS IoT
  • Microsoft – Azure IoT
  • Google – Brillo
  • Hewlett Packard – HPE IoT
  1. IoT Architecture and Solutions

IoT Technologies

Hardware and firmware

  • Connectivity considerations
  • Sensors and wireless sensor networks
  • Intelligent Electronic Device, IEDs
  • Radio Frequency Identification (RFID)
  • Security
  • Serviceability
  • Powering considerations
  • People & processes
  • Hubs
  • Fog Computing

Enablers

Engagers: Connecting to Customers

Enhancers: Creating New Value

Service characterization

Network considerations

IoT Interoperability

IoT Identification, Naming and Discovery

Exploiting ubiquitous connectivity

  1. IoT Communication and Networking characteristics

Networking Technologies

  • Cellular networks
  • Frequency Allocation considerations
  • RF Technologies / Standards
  • Low Power RF interface design considerations

White Space

Weightless

Mesh Networks

Wireless Ethernet and IoT

Other networking technologies

  1. IoT Applications

Smart Cities

E-Health

Precision Agriculture

Healthcare

Smart home and the Smart Home Ecosystem

ITS

SWM

Smart Cities

Industrial Applications

Security Applications

  1. Ecosystem Players

IoT Winners

Data Managers

Kickfunding

Utilities

SCADA

Municipal Things

  1. The Internet of Things Privacy Implications

Security in IoT implementation

Privacy

European Privacy Directive

Criticism controversies and Political Ramifications

Privacy, Autonomy and Control

Design

Environmental impact

  1. Strategy, IoT

A Strategist’s Guide to the Internet of Things

Evolution and Opportunity

Your Company’s IoT Strategy

Business models on IoT

Summary of telco operator strategies

Building IoT Products and solutions

  1. Case studies

Cisco Intercloud

M2M Scenario – Ice Cream Cabinets

Business Value

Bluetooth Socks

Wi-Fi Mesh

Awesense Mesh

Whispernet

Google Nest

Entry Requirements

Telecom/IT networks general knowledge, ideally IP Networking/Planning

Target Group

Product Marketing Engineers, Service Engineers, Network Design Engineers

Mode of Delivery

Instructor-led training with theory and practical examples.

Duration

2 days

Participants

The maximum number of participants is 12.

Language

English