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• Each iot application 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.
• A derivative in 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.
• To exploit remote 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
Particularly for devices deployed inaccessible locations
requires:
• Elements of device management,
• Specifically reprogramming and
• Reconfiguration of deeply embedded devices
• End-to-end latency,
• Security,
• Reliability,
• Availability,
• Times between failure and repair,
• Responsibility, etc.,
• The Deployment and 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.
• An iot system 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.
• The virtual machine 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).
• Advanced Device of 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.
• Apart from these 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
• The context of 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
• The IoT will 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
• 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.
• Specific sensing and 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).
• The sensing field 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.
• Devices in the 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
• Power is essential 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.
• There are a 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

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Data representation and visualization ppt

  • 1.
  • 2. • Each iot application 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 derivative in 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.
  • 4.
  • 5. • To exploit remote 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 devices deployed 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.,
  • 8.
  • 9.
  • 10. • The Deployment and 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.
  • 11.
  • 12. • An iot system 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 virtual machine 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).
  • 14.
  • 15. • Advanced Device of 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 from these 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 context of 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
  • 18.
  • 19. • The IoT will 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 sensing and 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 sensing field 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 in the 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 is essential 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 are a 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