How does the concept of fog computing enhance the efficiency of Internet of Things $($IoT$)$ applications, particularly in scenarios requiring immediate data analysis?

Question $44$ options:

a$)$

Fog computing eliminates the need for IoT devices, relying solely on centralized cloud platforms to process and analyze all data, thereby simplifying the IoT infrastructure.

b$)$

It increases the dependency on cloud platforms by requiring IoT devices to send all data to the cloud for analysis, thus enhancing data security but at the cost of increased latency.

c$)$

By decentralizing data storage and processing, fog computing makes IoT devices less efficient but more secure$,$ as data is stored locally on each device rather than in a centralized cloud or fog node.

d$)$

Fog computing allows for the storage of massive amounts of data on IoT devices themselves, bypassing the need for any form of data analysis, whether in the cloud or on fog nodes.

e$)$

By extending the cloud closer to IoT devices, fog computing minimizes latency and conserves bandwidth, crucial for real$-$time analytics and quick response times in critical systems.