Post-deployment monitoring and maintenance activities are part of the Operations phase in the IoT project lifecycle. This phase involves ensuring the continued functionality, security, and optimization of the deployed IoT system.

During the Testing phase of the IoT project lifecycle, the system's performance is evaluated against the defined objectives to ensure that it meets the requirements and functions correctly.

Street lights not adapting to the environment could be due to sensor calibration errors. If the sensors are not correctly calibrated, they may not accurately perceive the changing environmental conditions and, consequently, may not trigger the desired adjustments in the street lights. Regular calibration and maintenance are essential.

Battery life is often the most critical factor when considering power management for IoT (Internet of Things) devices. IoT devices are frequently deployed in locations where it is impractical to replace or recharge batteries frequently. Therefore, maximizing battery life is crucial to ensuring the longevity and reliability of IoT deployments.

Bluetooth is not typically considered a standard protocol in IoT communications. While HTTP, MQTT, and XML-RPC are commonly used in IoT applications, Bluetooth is more commonly associated with short-range, point-to-point wireless connections between devices, making it less prevalent in broader IoT scenarios.

The Deployment phase in the IoT project lifecycle involves testing the solution in real-world conditions. It's the stage where the IoT system is put into operation and evaluated in a real environment. Development and Testing are earlier phases, while Evaluation typically follows deployment.

The integration of 5G in IoT is expected to revolutionize all of these sectors. In healthcare, it will enable remote patient monitoring and real-time data transmission. In agriculture, it will enhance precision farming. In transportation, it will improve autonomous vehicles and smart traffic management.

The concern raised by citizens about tracking and storing their movements without anonymization pertains to data privacy. It highlights the need for privacy safeguards in IoT-based systems, especially in public infrastructure.

The M2M (Machine-to-Machine) communication model is most prevalent in applications such as home automation systems where machines (devices) communicate with each other to control various functions like lighting, heating, and security. This model is designed for seamless communication between machines to automate tasks and processes.

RFID technology played a significant role in the early development of IoT concepts. RFID tags and sensors allowed physical objects to be uniquely identified and tracked, which was a crucial foundation for the Internet of Things.