Age of Information: Foundations and Applications

At the forefront of cutting-edge technologies, this text provides a comprehensive treatment of a crucial network performance metric, ushering in new opportunities for rethinking the whole design of communication systems. Detailed exposition of the communication and network theoretic foundations of Age of Information (AoI) gives the reader a solid background, and discussion of the implications on signal processing and control theory shed light on the important potential of recent research. The text includes extensive real-world applications of this vital metric, including caching, the Internet of Things (IoT), and energy harvesting networks. The far-reaching applications of AoI include networked monitoring systems, cyber-physical systems such as the IoT, and information-oriented systems and data analytics applications ranging from the stock market to social networks. The future of this exciting subject in 5G communication systems and beyond make this a vital resource for graduate students, researchers and professionals.

Table of Contents:
1. The probability distribution of the age of information Yoshiaki Inoue, Tetsuya Takine and Toshiyuki Tanaka; 2. On the distribution of AoI Jaya Champati and James Gross; 3. Multi-source queueing models Sanjit K. Kaul and Roy D. Yates; 4. Controlling the age of information: buffer size, deadlines and packet management Sastry Kompella and Clement Kam; 5. Timely status updating via packet management in multi-source systems Mohammad Moltafet, Markus Leinonen and Marian Codreanu; 6. Age of information in source coding Melih Bastopcu, Baturalp Buyukates and Sennur Ulukus; 7. Sample and scheduling for minimizing age of information of multiple sources Ahmed M. Bedewy, Yin Sun, Sastry Kompella and Ness Shroff; 8. Age-efficient scheduling in communication networks Bin Li, Bo Ji and Atilla Eryilmaz; 9. AoI-driven transmission scheduling in wireless networks Qing He, Di Yuan, György Dán and Anthony Ephremides; 10. Age of information and remote estimation Tasmeen Zaman Ornee and Yin Sun; 11. Networked control subject to random processing delay Touraj Soleymani, John S. Baras and Karl Henrik Johansson; 12. Age of information in practice Elif Uysal, Onur Kaya, Saijad Baghaee and Hasan Burhan Beytur; 13. Reinforcement learning for minimizing age of information over wireless links Elif Tugce Ceran, Deniz Gündüz and András György; 14. Information freshness in large-scale wireless networks: a stochastic geometry approach Howard H. Yang and Tony S. Quek; 15. Age of channel state information Shahab Farazi, Andrew G. Klein and Donald Richard Brown III; 16. Transmission preemption for information freshness optimization Songtao Feng, Boyu Wang, Chenghao Deng and Jing Yang; 17. Economics of fresh data trading Meng Zhang, Ahmed Arafa, Jianwei Huang and H. Vincent Poor; 18. UAV-assisted status updates Juan Liu, Xijun Wang, Bo Bai and Huaiyu Dai; References, Index.

About the Author :
Nikolaos Pappas is Associate Professor in mobile telecommunications with the Department of Computer and Information Science, Linköping University. He serves as an Editor for three IEEE journals. Mohamed A. Abd-Elmagid is a Graduate Research Assistant with the Department of Electrical and Computer Engineering at Virginia Tech. Bo Zhou is a Professor at the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, China. He received the best paper awards at IEEE GLOBECOM in 2018 and IFIP NTMS in 2019. He was recognized as an exemplary reviewer of IEEE Transactions on Communications in 2019 and 2020. Walid Saad is a Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network Science, Wireless and Security laboratory. He was the author/co-author of ten conference best paper awards and of the 2015 IEEE ComSoc Fred W. Ellersick Prize. He is an IEEE Fellow. Harpreet S. Dhillon is an Associate Professor of Electrical and Computer Engineering at Virginia Tech. He is a Clarivate Analytics Highly Cited Researcher and a recipient of five best paper awards, including the IEEE Leonard G. Abraham Prize, the IEEE Heinrich Hertz Award, and the IEEE Communications Society Young Author Best Paper Award.

Review :
'As communication networks become increasingly integrated with sensing, computing, and storage platforms, the age of information is emerging as a versatile and tractable performance measure that captures the relevance of information for applications such as control and machine learning. Edited and contributed by leading experts in the field, this book is an excellent introduction to the topic and an essential reference for researchers in communications.' Osvaldo Simeone, King's College London 'With the inception of 5G and its projected use in various real-time applications there has been an increased interest in the low-latency performance of wireless systems. … During the last decade the notion of Age of Information (AoI), information freshness, and its derivatives have sparked interest into analysis and design of communication systems with general timing requirements. This book provides a timely and fresh view on the area of AoI, featuring a highly competent Editorial team and excellent contributions from well-established researchers. Various important aspects are covered, ranging from analytical treatment and stochastic models for AoI, scheduling and transmission policies, interplay with machine learning techniques, as well as the very recent aspects of data economics and valuation. Beyond 5G and towards 6G systems, the relevance of timing performance in wireless communication … will only continue to grow, rendering this book into a valuable and reliable reference for researchers and engineers.' Petar Popovski, Aalborg University, Denmark