Introduction to IOT
Features of IOT
1.AI
2.Connectivity
3.Sensors
- Active Engagment
- 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
- the application layer
- the services layer
- 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
- the edge layer (data management within the sensors
themselves)
- the fog layer (data management in the gateways and
transit network)
- 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
- Decentralization
- Cost-Effective
- Scalability
- Streamlined Traffic