IoT Enabling Technologies

IoT Enabling Technologies


IoT enabling technologies includes :

  • Sensors
  • Cloud computing
  • Big data analytics
  • Communication protocols
  • Embedded system.
Sensors : 

  • A sensor is a device that is used to sense a physical condition or event.
  • A Sensor works by converting a non-electrical input into a electrical signal that can be sent to an electronic circuit.

Cloud Computing

  • Cloud computing or no-demand computing is an Internet-based computing service which involves the use of the network of remote server rather than local area server or personal computer.
  • Cloud computing is a transformative computing paradigm that involves delivering applications and services over the internet.

Big Data Analytics

  • Big Data Analytics refers to the process of collecting, organizing, analyzing large data sets to discover different patterns and other useful information.
  • Example of big data generated by IoT system are Weather Monitoring system, Machine sensor data from industrial system, Health and fitness data, Location and tracking system etc.
  • Characteristics of Big Data
    • Volume
    • Variety
    • Velocity
    • Variability

Communication Protocol

  • Communication protocol are format descriptions of digital message formats and rules.
  • They are required to exchange messages in or between computing system.

Embedded System

  • An embedded system is a system that has computer hardware and software embedded to perform specific task.
  • They include a processing unit, usually a general-purpose microcontroller(i.e. CPUs with integrated memory or peripheral interfaces), along with on-board peripheral component such as I/O ports, memory and more.
  • Embedded system are small computers that are implemented as part if a large system or product and designed to execute a specific sunction or application.

Fog Computing

  • Fog computing also known as Edge Computing is a term created by Cisco and it extends the concept of cloud computing to the network edge, making it ideal for IoT and other applications that require real-time interaction.
  • Fog computing has many real-word applications.
    • Smart Traffic management
    • Smart cities and grids 
    • Industrial IoT




    Qus. 1 : Which is the core wrapper of GSN?

    1. Serial
    2. UDP
    3. GPS Test
    4. ZeroMQWrapper
    Qus. 2 : ZigBee is most Suitable communication standard for IoT.

    1. Low data rate
    2. Low power consumption
    3. Both (A) & (B)
    4. Easy to setup
    Qus. 3 : Which wireless mode connects machines directly to one another, without the use of an access point?

    1. Ad-hoc
    2. Point to Point
    3. Infrastructure
    4. BSS
    Qus. 4 : extends the single device-to-cloud communication model so that IOT devices and sensor data can be accessed by authorized third parties.

    1. Device to Cloud
    2. Device to Gateway
    3. Backend Data Sharing
    4. Device-to-device
    Qus. 5 : _____ is uniquely identifies embedded computing devices.

    1. Internet
    2. IOT
    3. Bigdata
    4. Cloud
    Qus. 6 : software supporting integration binds all system devices to create body of IOT system.

    1. Real Time analytics
    2. Data collection
    3. Device Integration
    4. Real Time collection

    Programs

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