In the realm of IoT, M2M (Machine-to-Machine) communication is when devices autonomously communicate with each other without human intervention. This kind of communication is at the heart of the IoT concept, where devices exchange data and instructions seamlessly.

A smart city using sensors to manage traffic in real-time is an example of M2M (Machine-to-Machine) communication. In this scenario, sensors and machines (traffic management systems) communicate with each other to optimize traffic flow and enhance overall city efficiency without direct human involvement.

Devices that have a predefined lifespan after which they should be decommissioned to ensure network security are following the "End-of-Life" principle. This means that after a certain period, these devices are no longer supported and should be replaced or upgraded to maintain security. This is crucial in preventing vulnerabilities that may arise from outdated or unsupported hardware.

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.

The integration of 5G technology in IoT can substantially improve interoperability, ensuring that various IoT devices can communicate effectively and efficiently. This is a challenge that 5G addresses in the IoT landscape.

C++ is often considered the most suitable language for real-time IoT applications due to its efficiency and low-level control over hardware. It allows for precise resource management, which is crucial for real-time systems. While Python, Java, and Ruby have their merits, they may not be as well-suited for real-time IoT.

The process of ensuring that an IoT device operates within its intended purpose and network is called "Device lifecycle management." It involves activities like provisioning, configuration, monitoring, and maintenance to keep the device functioning as expected.

The term "Internet of Things" (IoT) was first coined by Kevin Ashton, a British technology pioneer, in the late 1990s. Ashton used this term to describe a network of objects or "things" connected to the internet, which could communicate and share data without human intervention. This concept laid the foundation for the IoT we know today.