To manage IoT devices and monitor their health remotely, IoT Hub services in cloud platforms are designed for this purpose. IoT Hubs offer device management, health monitoring, and facilitate communication between IoT devices and cloud services. Device management and health monitoring are essential for large IoT fleets.

While edge computing focuses on processing data at the edge, "Distributed" computing focuses on local area networks and gateways. Distributed computing refers to the use of multiple interconnected computers and devices to process and manage data across a network, often in a decentralized manner, making it suitable for local network processing.

Arduino is a widely used platform for IoT development due to its open-source nature, ease of use, and extensive community support. Microsoft Word, Photoshop, and WhatsApp are not relevant tools for IoT development.

ISO 27001 is a widely recognized standard that focuses on information security, including the security of connected devices and their networks. ISO 9001 is related to quality management, IEEE 802.11 is a standard for wireless LANs, and MQTT is a messaging protocol.

Regulatory compliance in IoT is crucial to ensure that IoT devices and systems adhere to legal and industry standards. This encompasses privacy regulations, safety standards, and other legal requirements that IoT devices must meet to operate within a given jurisdiction.

By processing data at the source, "Fog" computing reduces latency in IoT applications. Fog computing extends cloud computing to the edge of the network, closer to where data is generated, reducing the need to transmit all data to a distant cloud server. This helps in real-time data processing and lower latency.

"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 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.

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 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.