The logical design of an IoT system refers to an abstract representation of entities and processes without going into the low-level specifies of implementation. it uses Functional Blocks, Communication Models, and Communication APIs to implement a system.
But before you learn about the logical design of IoT systems you need to know a little bit about the physical design of IoT.
Logical Design of the Internet of Things(IoT)
- IoT Functional Blocks
- IoT Communication Models
- IoT Communication APIs
IoT Functional blocks
An IoT system consists of a number of functional blocks like Devices, services, communication, security, and application that provide the capability for sensing, actuation, identification, communication, and management.
These functional blocks consist of devices that provide monitoring control functions, handle communication between host and server, manage the transfer of data, secure the system using authentication and other functions, and interface to control and monitor various terms.
Application
It is an interface that provides a control system that use by users to view the status and analyze of system.
Management
This functional block provides various functions that are used to manage an IoT system.
Services
This functional block provides some services like monitoring and controlling a device and publishing and deleting the data and restoring the system.
Communication
This block handles the communication between the client and the cloud-based server and sends/receives the data using protocols.
Security
This block is used to secure an IoT system using some functions like authorization, data security, authentication, 2-step verification, etc.
Device
These devices are used to provide sensing and monitoring control functions that collect data from the outer environment.
IoT Communication Models
There are several different types of models available in an IoT system that is used to communicate between the system and server like the request-response model, publish-subscribe model, push-pull model, exclusive pair model, etc.
Request-Response Communication Model
This model is a communication model in which a client sends the request for data to the server and the server responds according to the request. when a server receives a request it fetches the data, retrieves the resources and prepares the response, and then sends the data back to the client.
In simple terms, we can say that in the request-response model, the server sends the response equivalent to the request of the client. in this model, HTTP works as a request-response protocol between a client and server.
Example
When we search a query on a browser then the browser submits an HTTP request to the server and then the server returns a response to the browser(client).
Publish-Subscribe Communication Model
In this communication model, we have a broker between the publisher and the consumer. here publishers are the source of data but they are not aware of consumers. they send the data managed by the brokers and when a consumer subscribes to a topic that is managed by the broker and when the broker receives data from the publisher it sends the data to all the subscribed consumers.
Example
On the website many times we subscribed to their newsletters using our email address. these email addresses are managed by some third-party services and when a new article is published on the website it is directly sent to the broker and then the broker sends these new data or posts to all the subscribers.
Push-Pull Communication Model
It is a communication model in which the data push by the producers in a queue and the consumers pull the data from the queues. here also producers are not aware of the consumers.
Example
When we visit a website we saw a number of posts that are published in a queue and according to our requirements, we click on a post and start reading it.
Exclusive Pair Communication Model
It is a bidirectional fully duplex communication model that uses a persistent connection between the client and server. here first set up a connection between the client and the server and remain open until the client sends a close connection request to the server.
IoT communication APIs
These APIs like REST and WebSocket are used to communicate between the server and system in IoT.
REST-based communication APIs
Representational state transfer(REST) API uses a set of architectural principles that are used to design web services. these APIs focus on the systems’ resources that how resource states are transferred using the request-response communication model. This API uses some architectural constraints.
Client-server
Here the client is not aware of the storage of data because it is concerned about the server and similarly the server should not be concerned about the user interface because it is a concern of the client. and this separation is needed for independent development and updating of the server and client. no matter how the client is using the response of the server and no matter how the server is using the request of the client.
Stateless
It means each request from the client to the server must contain all the necessary information to understand the server. because if the server can’t understand the request of the client then it can’t fetch the requested data in a proper manner.
Cacheable
In response, if the cache constraints are given then a client can reuse that response in a later request. it improves the efficiency and scalability of the system without loading extra data.
A RESTful web API is implemented using HTTP and REST principles.
WebSocket-based communication API
This type of API allows bi-directional full-duplex communication between server and client using the exclusive pair communication model. This API uses full-duplex communication so it does not require a new connection setup every time when it requests new data. WebSocket API begins with a connection setup between the server and client and if the WebSocket is supported by the server then it responds back to the client with a successful response after the setup of a connection server and the client can send data to each other in full-duplex mode.
this type of API reduces the traffic and latency of data and makes sure that each time when we request new data it cannot terminate the request.
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