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Data representation and visualization ppt
- 2. • Each iotapplication has an optimal visual representation of • The data and • The system. • Data that is generated from heterogeneous systems has heterogeneous visualization requirements. • There are currently no satisfactory standard data representation and storage methods that satisfy all of the potential iot applications. • Data-derivative products will have further ad hoc visualization requirements.
- 3. • A derivativein these terms exists once a function has been performed on an initial data set (may or may not be raw data). • These can be further integrated at various levels of abstraction, depending on the logic of the integrator. • New information sources, such as those derived from integrated data streams from various logically correlated IoT applications, will present interesting representation and visualization challenges.
- 5. • To exploitremote interaction and control over IoT applications, connectivity that spans the traditional Internet. (from anywhere) • the application manager, • authorized entity, • to the end-point (embedded device), continues to be a challenging problem
- 6. Particularly for devicesdeployed inaccessible locations requires: • Elements of device management, • Specifically reprogramming and • Reconfiguration of deeply embedded devices
- 7. • End-to-end latency, •Security, • Reliability, • Availability, • Times between failure and repair, • Responsibility, etc.,
- 10. • The Deploymentand Operational View depends on the specific actual use case and requirements. • The two sensor nodes are connected to the payment station through wireless or wired communication. • The payment station acts both as a • (user interface) for the driver to pay and get a payment receipt as well as a communication gateway that connects the two sensor nodes • (the payment interface) physical devices with the Internet through Wide Area Network (WAN) technology. • The two main applications connected to this management system are human user mobile phone applications and parking operation center applications.
- 12. • An iotsystem is typically part of a larger system. Starting from the sensor devices, • sensor node #1 hosts resource #11#18, representing the sensors for the parking spots #01#08, • sensor node #2 hosts resource #21#28, • The two sensor nodes are connected to the gateway device that also hosts the payment service with the accompanying sensors and actuators, • The management system for the specific parking lot, as well as others, is deployed on a virtual machine on a data centre.
- 13. • The virtualmachine hosts communication capabilities, Virtual Entity services • a payment business process that involves the payment station and input from the occupancy sensor services • the parking lot management service that provides exposure and access control • The services offered on these parking spots are to read the current state of the parking spot to see whether it is “free” or “occupied.” • The physical sensors, • actuators, • tags, • processors, and • memory, which are parts of a Device, are deployed close to the Physical Entities, (the ones whose properties are monitored or controlled).
- 15. • Advanced Deviceof type #1 that allows the basic device to perform protocol adaptation • Advanced Devices (type #2) can host the Sensor IoT Service communicating to the Sensor Resource • The cloud infrastructure contains: Virtual Entity services, Service Organization components (Composition, Orchestration, Choreography), IoT Process Management components, Historical Data Services (collection, processing), Data Analytics and Knowledge Management.
- 16. • Apart fromthese functional views, there are a few more that are very important for a system that interfaces the physical world. • The two most important are • the Physical Entity View and • the Context View. • The Physical Entity View describes the Physical Entities from the IoT Domain Model in terms of physical properties (e.g. dimensions for spaces/ objects). • The description of the Physical Entities may also include the relationship between Physical Entities
- 17. • The contextof a system, “describes • The relationships, • Dependencies, and • Interactions between the system and its environment Therefore, the context view should capture external entities interacting with the system
- 19. • The IoTwill see additional circuitry built into a number of existing products and machines. • Giving these things an identity, and the ability to represent themselves online and communicate with applications and other things, represents a significant, widely recognized opportunity. • For manufacturers of products that typically contain electronic components, process will be relatively straightforward
- 20. • The device-Hardware, • representation -Data and visualization • interaction -Local or remote control Devices and networks • Devices that form networks in the M2M area network domain must be selected, or designed, with certain functionality • At a minimum, they must have • An energy source (e.g. Batteries, increasingly EH), • Computational capability (e.g. An MCU), • Appropriate communications interface (e.g. A radio frequency integrated circuit (RFIC) and front end RF circuitry), • Memory (program and data), and • Sensing (and/or actuation) capability.
- 21. • Specific sensingand actuating capabilities are basic functional requirements. • the device must be capable of sensing or perceiving something interesting from the environment. • The sensor may directly measure the phenomenon (e.g. temperature), or may be used to derive data or information about the phenomenon, based on additional knowledge (e.g. a level of comfort). • Sensors may sense a phenomenon that is local (i.e. a meter detecting total electricity consumption of a space) or distributed (e.g. the weather).
- 22. • The sensingfield is of importance when considering both the phenomenon to be sensed (local or distributed) and the distance between sensing points. • Devices must be placed in close enough proximity to communicate. • Where the distance is too great, routing devices may be necessary. • Devices may become intermittently disconnected due to the time varying, stochastic nature.
- 23. • Devices inthe IoT are fundamentally heterogeneous. • There are, various computational architectures, including MCUs (8-, 16-, 32-bit, ARM, 8051, RISC, Intel, etc.), signal conditioning (e.g. ADC), and memory (ROM, (S/F/D)RAM, etc.), In addition to communications media, peripheral components (sensors, actuators, buttons, screens, LEDs), etc. • Operating systems are typically used to make programming simpler and modular for embedded systems designers
- 24. • Power isessential for any embedded or IoT device. Depending on the application, power may be provided by the mains, batteries, or conversion from energy scavengers. • The power source has a significant implication on the design of the entire system. Gateway • Is typically more straightforward to design if it usually acts as a proxy. • It is also thought that the gateway device can be exploited for performing some level of analytics on data transitioning to and from capillary networks.
- 25. • There area number of non-functional requirements that need to be satisfied for every application. • These are technical and non-technical • Regulations(varies by region and frequency band) • Ease of use, installation, maintenance, accessibility(Simplification of installation ) • Physical constraints(physical size limitations ) Financial cost 1. Component Selection- Developing devices in small quantities is expensive. 2. Integrated Device Design- the energy, sensors, actuators, computation, memory, power, connectivity, physical, and other functional and non functional requirements are considered