Introduction to IOT

Features of IOT

1.AI

2.Connectivity

3.Sensors

  1. Active Engagment
  1. Small Device

IOT Digitization

iot and digitization are terms that are often used interchangeably


IOT Impact

Connected Roadways

Connected Factory

main challenges facing manufacturing in a factory

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●Accelerating new product and service introductions to meet customer and market

opportunities

●Increasing plant production, quality, and uptime while decreasing cost

● Mitigating unplanned downtime (which wastes, on average, at least 5% of

production)

●Securing factories from cyber threats

Smart Connected Buildings

Smart Creatures

Many buildings are beginning to deploy sensors throughout the
building to detect occupancy.

Sensors can be placed in animal

IoT Challenges

Privacy

Big Data and data analytics

Interoperability

Introduction IoT Architecture

oneM2M Standard Architecture

The IoT World Forum Standard (IoTWF) Architecture

  1. the application layer
  1. the services layer
  1. the network layer

This domain includes application -layer protocols and attempts to standaedize API definitions for interaction with business intelligence (BI) system

This layer is shown as a horizontal framework across the vertical application

This is the communication domain for the IoT devices and endpoints.

Layer 1: Physical Devices and Controllers Layer

This layer is home to "things"

Layer 2: Connectivity Layer

The most important function of this IoT layer is the reliable and
timely transmission of data.

Layer 3: Edge Computing Layer

At this layer , the emphasis is on data reduction and converting network data flows into information that is ready for storage and processing by high layers


Upper Layers: Layers 4–7

The upper layers deal with handling and processing the IoT data
generated by the bottom layer.

IoT Data Management and Compute Stack

  1. the edge layer (data management within the sensors

themselves)

  1. the fog layer (data management in the gateways and

transit network)

  1. the cloud layer (data management in the cloud or

central data center).

New Requirements

Minimizing latency

Conserving network bandwidth

Increasing local efficiency

FOG Computing

Any device with computing, storage, and network connectivity can
be a fog node.

Edge Computing

characteristic of fog computing

Contextual location awareness and low latency

Geographic distribution:

Deployment near IoT endpoints

Use for real-time interactions

Edge computing is also sometimes called “mist” computing.

Characteristics

1.Local Data Processing

  1. Decentralization
  1. Cost-Effective
  1. Scalability
  1. Streamlined Traffic