Section-A (Each question of 1 mark)
What do you mean by M2M?
M2M stands for Machine-to-Machine communication, which refers to the direct exchange of data between devices or machines without human intervention. M2M enables devices to communicate, share information, and collaborate to perform tasks autonomously.
Difference between strong and weak AI?
Strong AI, also known as artificial general intelligence (AGI), refers to AI systems with human-level intelligence and cognitive abilities. These systems can understand, learn, and perform any intellectual task that a human can do.
Weak AI, also known as narrow or narrow AI, refers to AI systems that are designed for specific tasks and have limited intelligence. They excel in particular areas but lack the general cognitive abilities of humans. Examples include voice assistants and recommendation systems.
What is the role of a proximity sensor?
A proximity sensor is designed to detect the presence or absence of objects or people in close proximity to the sensor. It is used to trigger actions or responses when an object approaches or moves away from the sensor's vicinity. Proximity sensors are commonly used in applications such as touchless faucets, smartphone screen dimming, and industrial automation.
What is the use of MQTT protocol?
The MQTT (Message Queuing Telemetry Transport) protocol is a lightweight messaging protocol designed for efficient communication between IoT devices, especially in situations with limited bandwidth and high latency. It is used for publishing and subscribing to messages or events in a publish-subscribe architecture. MQTT is commonly used in IoT applications for real-time data transmission, remote device control, and monitoring.
Which sensor is suitable to detect fire?
Thermal or infrared sensors are suitable for detecting fire. These sensors can detect sudden increases in temperature or the presence of flames by measuring the infrared radiation emitted by objects or flames during combustion. They are commonly used in fire detection systems to trigger alarms and initiate firefighting measures.
Section-B (Each question of 2 marks)
How does IoT affect our everyday lives?
IoT affects everyday lives by:
Enabling smart homes with automated lighting, security, and climate control.
Improving healthcare through remote monitoring and wearable devices.
Enhancing transportation with real-time traffic data and autonomous vehicles.
Optimizing energy usage in homes and industries.
Making agriculture more efficient with precision farming.
Streamlining retail operations with inventory tracking and personalized shopping experiences.
Difference between the different components of IoT?
IoT components include:
Sensors/Devices: Physical objects equipped with sensors and communication capabilities.
Connectivity: Networks and communication protocols that connect devices to each other and the internet.
Data Processing: Cloud or edge computing platforms for data storage, analysis, and decision-making.
User Interface: Interfaces that allow users to interact with IoT systems, often through mobile apps or web interfaces.
Applications: Software that leverages IoT data for specific use cases, such as smart homes, healthcare, or industrial automation.
In what ways is IoT energy-efficient?
IoT can be energy-efficient in several ways:
Low-Power Devices: Many IoT devices are designed to operate on low power, extending battery life and reducing energy consumption.
Sleep Modes: Devices can enter sleep modes when not in use to conserve energy and wake up when needed.
Edge Computing: Processing data at the edge (closer to devices) reduces the need for constant data transmission to centralized servers, saving energy.
Energy Harvesting: Some IoT devices can harvest energy from their environment, such as solar-powered sensors.
Efficient Communication: IoT protocols like MQTT are designed for efficient, low-bandwidth communication, minimizing energy consumption during data transfer.
Section-C (Each question of 4 marks)
What are the major impacts of IoT in the healthcare industry?
Major impacts of IoT in healthcare include:
Remote Patient Monitoring: IoT devices enable continuous monitoring of patients' vital signs and health metrics from home, reducing hospital visits.
Data Analytics: IoT data is used for predictive analytics, helping healthcare providers detect health issues early and provide timely interventions.
Telemedicine: IoT facilitates remote consultations and telemedicine services, improving access to healthcare.
Medical Asset Management: Hospitals use IoT to track and manage medical equipment and supplies efficiently.
Drug Management: IoT aids in tracking the supply chain and temperature-sensitive storage of pharmaceuticals.
Health Wearables: Wearable devices monitor fitness and health, encouraging preventive healthcare practices.
What are the types of data that can be communicated between IoT devices?
IoT devices can communicate various types of data, including:
Sensor Data: Data from environmental sensors (e.g., temperature, humidity, light), motion sensors, and biometric sensors (e.g., heart rate, blood pressure).
Location Data: GPS and geolocation data to track the position of devices or assets.
Image and Video Data: Data from cameras and imaging devices used for surveillance, object recognition, and visual monitoring.
Audio Data: Sound data from microphones for applications like voice recognition or acoustic monitoring.
Event and Log Data: Records of events, alarms, or system logs generated by devices.
Control Commands: Instructions and commands sent to IoT devices for remote control and actuation.
Environmental Data: Data about the physical environment, such as air quality, pollution levels, or radiation measurements.
Health Data: Data related to a person's health, including medical records, wearable device data, and telemedicine interactions.
Section-D (6 mark question)
Explain the basic architecture of an IoT network.
The basic architecture of an IoT network comprises several key components:
IoT Devices/Things: These are the physical objects equipped with sensors, actuators, and communication modules. Devices collect data from the physical world and can perform actions based on that data.
Connectivity: IoT devices need to connect to the internet or other networks to transmit data. Various communication technologies, such as Wi-Fi, cellular, LPWAN, and Bluetooth, are used to establish connectivity.
Gateways: IoT gateways act as intermediaries between devices and the cloud or central server. They aggregate data from multiple devices, perform preprocessing, and transmit data to the cloud. Gateways may also provide security functions.
Cloud Infrastructure: Data from IoT devices is often sent to cloud servers for storage, processing, and analysis. Cloud platforms offer scalable and cost-effective solutions for managing IoT data.
IoT Platforms: IoT platforms provide the software infrastructure for managing devices, data, and applications. They include device management, data processing, analytics, and APIs for application development.
Applications: IoT applications are built on top of the IoT platform. These applications use IoT data to provide value to users and organizations. Examples include smart home apps, industrial automation software, and healthcare monitoring systems.
User Interfaces: Users interact with IoT systems through mobile apps, web interfaces, or other user interfaces. These interfaces allow users to monitor and control IoT devices and access data and insights.
The architecture is designed to facilitate the seamless flow of data from devices to applications, enabling data-driven decision-making, automation, and control in various domains.