To connect IoT devices to the cloud and facilitate data processing.

To act as a firewall for IoT networks.

To store data locally on IoT devices.

To provide power to IoT devices.

Temperature sensors, humidity sensors, motion sensors

Proximity sensors

Pressure sensors

Light sensors

Data processing in IoT architecture only involves data collection.

Data processing is solely done on the cloud without any local analysis.

Data processing in IoT architecture eliminates the need for data storage.

Data processing in IoT architecture involves data collection, transmission, aggregation, analysis, and storage.

Smart washing machines

Smart light bulbs

Smart thermostats, Smart security systems

Smart refrigerators

Edge computing increases data storage requirements in IoT.

Edge computing eliminates the need for cloud services in IoT.

Edge computing is significant in IoT as it enables real-time data processing, reduces latency, and optimizes bandwidth usage.

Edge computing slows down data transmission in IoT.

IoT has no impact on patient treatment or monitoring.

IoT devices are only used for administrative tasks in hospitals.

IoT is used in healthcare for remote patient monitoring, data collection, and improving treatment outcomes through connected devices.

IoT is primarily used for scheduling appointments in healthcare.

High manufacturing costs

Excessive data storage requirements

Device vulnerabilities, lack of standardization, inadequate encryption, insecure networks, and privacy concerns.

Limited battery life

IoT significantly improves industrial automation through real-time data analytics, enhanced efficiency, predictive maintenance, and seamless machine communication.

IoT has no effect on machine communication.

IoT only increases operational costs without benefits.

IoT reduces the need for automation in industries.

Increased crop yields and efficient resource management.

Higher costs with no significant benefits.

IoT has no application in agriculture.

Only used for monitoring weather conditions.

Through direct wired connections only.

Using various communication protocols such as MQTT, CoAP, and HTTP.

IoT devices do not communicate with each other.

Only through Bluetooth technology.

Machine learning has no relevance to IoT.

It is used to enhance data analysis and predictive capabilities in IoT systems.

Machine learning only complicates IoT systems.

It is solely for improving user interfaces in IoT applications.