When an IoT device uses "Wake on Demand" functionality, it means:

  • The device never wakes up
  • The device wakes up at fixed intervals
  • The device wakes up only when it is powered on
  • The device wakes up when an external stimulus triggers it
"Wake on Demand" functionality in IoT devices means that the device remains in a low-power or sleep state until an external stimulus or event triggers it to wake up. This approach helps save power and resources by ensuring that the device is only active when necessary, making it an energy-efficient strategy for IoT applications.

In smart cities, ________ sensors help manage and optimize traffic flow.

  • Biometric
  • Environmental
  • Temperature
  • Traffic
In smart city applications, traffic sensors play a crucial role in collecting real-time traffic data, which is used to manage and optimize traffic flow, reduce congestion, and enhance overall transportation efficiency.

The component in IoT architecture responsible for gathering data from the environment is:

  • Actuator
  • Cloud Server
  • Gateway
  • Sensor
Sensors are the components in IoT architecture responsible for gathering data from the environment. They capture data from the physical world, such as temperature, humidity, or motion, and transmit it to other IoT components for processing and analysis.

In ________ computing, intermediary nodes between cloud data centers and end-devices process the data.

  • Cloud
  • Distributed
  • Edge
  • Fog
In Edge computing, intermediary nodes (often located closer to the end-devices) process data before it's sent to the cloud. This reduces latency and can be crucial for real-time or time-sensitive applications, making it a suitable choice for IoT scenarios.

In a typical Wireless Sensor Network (WSN), the sensor nodes primarily:

  • Collect and process data
  • Power the network
  • Receive data only
  • Transmit data only
In a typical WSN, sensor nodes collect and process data. These nodes are responsible for sensing the environment, processing the collected data, and transmitting relevant information to the base station or other nodes in the network.

One of the primary reasons IoT devices use low-power modes is to ________.

  • Achieve faster data transfer
  • Conserve battery life
  • Enhance device connectivity
  • Improve data security
One of the primary reasons IoT devices employ low-power modes is to conserve battery life. IoT devices are often deployed in remote or inaccessible locations where changing batteries can be challenging, so optimizing power consumption is crucial.

Which technology primarily supports the vast amount of data generated by IoT devices?

  • Bluetooth
  • Cloud computing
  • RFID
  • Wi-Fi
Cloud computing is the technology that primarily supports the vast amount of data generated by IoT devices. IoT devices generate enormous quantities of data, and cloud platforms provide scalable and flexible infrastructure for storing, processing, and analyzing this data. Cloud computing also enables remote access and real-time monitoring of IoT devices.

An essential aspect of IoT device power management is:

  • Complex user interfaces
  • Energy efficiency
  • Firmware updates
  • Real-time data processing
Energy efficiency is a fundamental aspect of IoT device power management. IoT devices are often battery-powered or have limited power resources, so optimizing energy consumption is critical to prolong battery life and ensure continuous operation.

In the context of IoT, edge computing is used to:

  • Distribute data processing closer to the data source
  • Process data centrally in the cloud
  • Secure data transmission
  • Store data in a data warehouse
In the context of IoT (Internet of Things), edge computing involves processing data closer to the data source, often at or near the IoT devices themselves. This approach reduces latency, conserves bandwidth, and allows for real-time data analysis. Edge computing is especially useful in scenarios where immediate data processing and decision-making are critical.

A critical component that enables seamless IoT and AI integration, especially in edge devices, is ________.

  • Blockchain
  • Connectivity
  • Data Analytics
  • Edge Computing
Edge Computing is a critical component for seamless IoT and AI integration in edge devices. It allows processing data closer to the source, reducing latency and enhancing efficiency.