| 期刊全稱 | Age of Information | | 期刊簡稱 | A New Metric for Inf | | 影響因子2023 | Yin Sun,Igor Kadota,Eytan Modiano | | 視頻video | http://file.papertrans.cn/152/151013/151013.mp4 | | 學(xué)科分類 | Synthesis Lectures on Learning, Networks, and Algorithms | | 圖書封面 |  | | 影響因子 | Information usually has the highest value when it is fresh. For example, real-time knowledge about the location, orientation, and speed of motor vehicles is imperative in autonomous driving, and the access to timely information about stock prices and interest rate movements is essential for developing trading strategies on the stock market. The Age of Information (AoI) concept, together with its recent extensions, provides a means of quantifying the freshness of information and an opportunity to improve the performance of real-time systems and networks. Recent research advances on AoI suggest that many well-known design principles of traditional data networks (for, e.g., providing high throughput and low delay) need to be re-examined for enhancing information freshness in rapidly emerging real-time applications. This book provides a suite of analytical tools and insightful results on the generation of information-update packets at the source nodes and the design of network protocols forwarding the packets to their destinations. The book also points out interesting connections between AoI concept and information theory, signal processing, and control theory, which are worthy of futu | | Pindex | Book 2020 |
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