IoT Levels and Deployment Templates

IoT Levels and Deployment Templates

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  IoT Levels andDeployment Templates An IoT system comprises the following components: Device, Resource, Controller Service, Database, Web service, Analysis Component and Application. Device : An IoT device allows identification, remote sensing, remote monitoring capabilities. Resource: • Software components on the IoT device for -accessing, processing and storing sensor information, -controlling actuators connected to the device. - enabling network access for the device. Controller Service: • Controller service is a native service that runs on the device and interacts with the web services. • It sends data from the device to the web service and receives commands from the application (via web services) for controlling the device.
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  Database: • Database canbe either local or in the cloud and stores the data generated by the IoT device. Web Service: • Web services serve as a link between the IoT device, application, database and analysis components. •It can be implemented using HTTP and REST principles (REST service) or using the WebSocket protocol (WebSocket service). Analysis Component: • Analysis Component is responsible for analyzing the IoT data and generating results in a form that is easy for the user to understand. Application: • IoT applications provide an interface that the users can use to control and monitor various aspects of the IoT system. • Applications also allow users to view the system status and the processed data.
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  IoT Level-1 A level-1IoT system has a single node/device that performs sensing and/or actuation, stores data, performs analysis and hosts the application. Level-1 IoT systems are suitable for modelling low- cost and low-complexity solutions where the data involved is not big and the analysis requirements are not computationally intensive.
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  IoT – Level1 Example : Home Automation System
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  IoT Level-2 • Alevel-2 IoT system has a single node that performs sensing and/or actuation and local analysis. Data is stored in the cloud and the application is usually cloud-based. • Level-2 IoT systems are suitable for solutions where the data involved is big; however, the primary analysis requirement is not computationally intensive and can be done locally.
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  IoT – Level2 Example: Smart Irrigation
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  IoT Level-3 A level-3IoT system has a single node. Data is stored and analyzed in the cloud and the application is cloud- based. Level-3 IoT systems are suitable for solutions where the data involved is big and the analysis requirements are computationally intensive.
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  IoT – Level3 Example: Tracking Package Handling Sensors used Gives orientation infosense movement or vibrations Websocket service is used because sensor data can be sent in real time. Accelrometer Gyroscope
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  IoT Level-4 A level-4IoT system has multiple nodes that perform local analysis. Data is stored in the cloud and the application is cloud-based. Level-4 contains local and cloud- based observer nodes which can subscribe and receive information collected in the cloud from IoT devices. Level-4 IoT systems are suitable for solutions where multiple nodes are required, the data involved is big and the analysis requirements are computationally intensive.
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  IoT – Level4 Example: Noise Monitoring Sound Sensors are used
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  IoT Level-5 Level-5 IoTsystems are suitable for solutions based on wireless sensor networks, in which the data involved is big and the analysis requirements are computationally intensive. •A level-5 IoT system has multiple end nodes and one coordinator node. •The end nodes perform sensing and/or actuation. •The coordinator node collects data from the end nodes and sends it to the cloud. •Data is stored and analyzed in the cloud and the application is cloud- based.
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  IoT – Level5 Example: Forest Fire Detection Detect forest fire in early stages to take action while the fire is still controllable. Sensors measure the temperature, smoke, weather, slope of the earth, wind speed, speed of fire spread, flame length
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  IoT Level-6 •A level-6IoT system has multiple independent end nodes that perform sensing and/or actuation and send data to the cloud. •Data is stored in the cloud and the application is cloud-based. •The analytics component analyzes the data and stores the results in the cloud database. •The results are visualized with the cloud-based application. •The centralized controller is aware of the status of all the end nodes and sends control commands to the nodes.
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  IoT – Level6 Example: Weather Monitoring System Wind speed and direction Solar radiation Temperature (air, water, soil) Relative humidity Sensors used Precipitation Snow depth Barometric pressure Soil moisture
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  IoT Issues andChallenges Security • Cyber Attacks, Data Theft Privacy • Controlling access and ownership of data. InterOperability • Integration Inflexibility Legality and Rights • Data Protection laws be followed, Data Retention and destruction policies Economy and Development • Investment Incentives, Technical Skill Requirement