In this paper, we explore a new concept called Age of Information (AoI), which measures the timeliness of information in various communication systems. We propose a metric that considers both the age of information and its utilization, focusing on wireless networks where energy resources are limited. Our analysis shows that AoI is relevant when observing the transmission of observations from an external process to a battery-powered receiver through status updates. These updates inform the receiver about the process status and enable actuation if enough energy is available to achieve a goal. We introduce a new metric, Age of Actuation (AoA), which assesses the timeliness of information used for actions in a wireless power transfer (WPT) model. By analyzing AoA, we provide insights into the efficiency of using status updates to perform actions promptly and violations of the timing of information. Our findings demonstrate the significance of considering the age and utilization of information in emerging communication systems, particularly in Wireless Network Control Systems (WNCS).
In this article, we aim to simplify complex concepts by using everyday language and engaging metaphors. For instance, we compare the age of information to a ticking clock, highlighting how timely data transmission is crucial for achieving specific goals. We also liken the wireless power transfer model to a powered-up vehicle, illustrating how status updates can help the receiver navigate and perform actions in a timely manner. By using these analogies, we strive to make the concepts more accessible and easier to comprehend.
In summary, this paper delves into the Age of Information concept, introduces a new metric that considers both the age and utilization of information, and provides insights into its significance in emerging communication systems. By understanding the timeliness of information and how it affects the efficiency of actions in wireless networks, we can enhance the performance of these systems and achieve our goals more effectively.
Computer Science, Information Theory