Streaming analytics in IoT is essential for predictive maintenance. It enables real-time analysis of data from IoT devices, allowing organizations to predict when equipment will fail and proactively perform maintenance, reducing downtime and costs.

IoT security standards are primarily in place to protect against unauthorized access and data breaches. With the vast amount of data transmitted and processed by IoT devices, ensuring the security of this data is paramount to maintain trust and safety in the IoT ecosystem.

The deployment phase of an IoT project involves deploying devices in the target environment where they will collect data and perform their intended functions.

Authorization in IoT security involves controlling access to resources or actions. It determines what actions or data a user or device is allowed to access. It's a critical aspect of security to prevent unauthorized access and actions.

While HTTPS, LoRaWAN, and Zigbee are standard protocols used in IoT communications, FTP (File Transfer Protocol) is not typically considered a standard protocol for IoT. FTP is used for general file transfer and is less commonly associated with IoT devices.

Data anonymization in IoT involves removing or altering personally identifiable information, making it more challenging to identify individuals from the data.

The storage requirements for IoT data are typically enormous and scalable. IoT devices generate a continuous stream of data, and this data must be stored for analysis and decision-making. As the number of IoT devices and data volume grow, the storage infrastructure must be able to expand to accommodate the increasing data demands.

Edge computing is the type of computing that processes data closer to the data source in IoT. It's designed to reduce latency and enhance real-time data processing by moving computations closer to where the data is generated.

An advantage of using Linux-based operating systems for IoT devices is enhanced security. Linux offers robust security features and is open-source, allowing for customization and community support. While Linux can be configured for real-time performance, it's not a primary strength. Extensive graphical interfaces and compatibility with proprietary software may not always be necessary for IoT devices.

WSNs typically have constrained energy sources and, as a result, need to use energy-efficient protocols and hardware to minimize energy consumption, which differs from traditional networks.