Topic · Age of Information Optimization
Most cited papers in Age of Information Optimization
What are the most cited papers in Age of Information Optimization?
The most cited paper in Age of Information Optimization is "Sensing-Throughput Tradeoff for Cognitive Radio Networks" (Ying‐Chang Liang, Yonghong Zeng, Edward Chu Yeow Peh et al., 2008), with 3,018 citations. Next come "Real-time status: How often should one update?" (2,514) and "OceanStore" (2,028).
Showing 50 of 98 papers. Every paper with more than 367 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Sensing-Throughput Tradeoff for Cognitive Radio Networks Ying‐Chang Liang, Yonghong Zeng, Edward Chu Yeow Peh et al. · IEEE Transactions on Wireless Communications | Apr 2008 | 3,018 |
| 2 | Real-time status: How often should one update? Sanjit K. Kaul, Roy D. Yates, Marco Gruteser | Mar 2012 | 2,514 |
| 3 | OceanStore John D. Kubiatowicz, David Bindel, Yan Chen et al. · ACM SIGPLAN Notices | Nov 2000 | 2,028 |
| 4 | BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks Pan Hui, Jon Crowcroft, Eiko Yoneki · IEEE Transactions on Mobile Computing | 3 Jan 2011 | 1,526 |
| 5 | Strategic and automatic processes in prospective memory retrieval: a multiprocess framework Mark A. McDaniel, Gilles O. Einstein · Applied Cognitive Psychology | 2000 | 1,160 |
| 6 | Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration Francis A. Mwasilu, Jackson J. Justo, Eun‐Kyung Kim et al. · Renewable and Sustainable Energy Reviews | 2 Apr 2014 | 1,150 |
| 7 | Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network Min Chen, Yixue Hao · IEEE Journal on Selected Areas in Communications | Mar 2018 | 1,087 |
| 8 | Dominant resource fairness: fair allocation of multiple resource types Ali Ghodsi, Matei Zaharia, Benjamin Hindman et al. | 30 Mar 2011 | 1,074 |
| 9 | Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks Liang Huang, Suzhi Bi, Ying-Jun Angela Zhang · IEEE Transactions on Mobile Computing | 24 Jul 2019 | 1,041 |
| 10 | Mobile-Edge Computing: Partial Computation Offloading Using Dynamic Voltage Scaling Yanting Wang, Min Sheng, Xijun Wang et al. · IEEE Transactions on Communications | 2016 | 1,034 |
| 11 | The dangers of replication and a solution Jim Gray, Pat Helland, Patrick O’Neil et al. | 1996 | 1,033 |
| 12 | HotStuff Maofan Yin, Dahlia Malkhi, Michael K. Reiter et al. | 16 Jul 2019 | 1,019 |
| 13 | On the Convergence of FedAvg on Non-IID Data Xiang Li, Kaixuan Huang, Wenhao Yang et al. · arXiv (Cornell University) | 4 Jul 2019 | 1,011 |
| 14 | Machine learning with adversaries: byzantine tolerant gradient descent Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui et al. · Neural Information Processing Systems | 4 Dec 2017 | 982 |
| 15 | Minimizing age of information in vehicular networks Sanjit K. Kaul, Marco Gruteser, Vinuth Rai et al. | Jun 2011 | 930 |
| 16 | Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling Thinh Quang Thinh, Jianhua Tang, Quang Duy Lã et al. · IEEE Transactions on Communications | 2017 | 903 |
| 17 | Blockchained On-Device Federated Learning Hyesung Kim, Jihong Park, Mehdi Bennis et al. · IEEE Communications Letters | 10 Jun 2019 | 898 |
| 18 | Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel Weiwen Zhang, Yonggang Wen, Kyle Guan et al. · IEEE Transactions on Wireless Communications | 5 Aug 2013 | 888 |
| 19 | Update or Wait: How to Keep Your Data Fresh Yin Jian Sun, Elif Uysal‐Biyikoglu, Roy D. Yates et al. · IEEE Transactions on Information Theory | 3 Aug 2017 | 887 |
| 20 | Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks Ke Zhang, Yuming Mao, Supeng Leng et al. · IEEE Access | 2016 | 865 |
| 21 | Checkpointing and Rollback-Recovery for Distributed Systems Richard Koo, Sam Toueg · IEEE Transactions on Software Engineering | 1987 | 828 |
| 22 | Routing in intermittently connected mobile ad hoc networks and delay tolerant networks: overview and challenges Zhensheng Zhang · IEEE Communications Surveys & Tutorials | 2006 | 818 |
| 23 | Delay-optimal computation task scheduling for mobile-edge computing systems Juan Liu, Yuyi Mao, Jun Zhang et al. | Jul 2016 | 792 |
| 24 | A Survey on Federated Learning for Resource-Constrained IoT Devices Ahmed Imteaj, Urmish Thakker, Shiqiang Wang et al. · IEEE Internet of Things Journal | 6 Jul 2021 | 769 |
| 25 | On the Age of Information in Status Update Systems With Packet Management Maice Costa, Marian Codreanu, Anthony Ephremides · IEEE Transactions on Information Theory | 23 Feb 2016 | 757 |
| 26 | High Speed and High Dynamic Range Video with an Event Camera Henri Rebecq, René Ranftl, Vladlen Koltun et al. · Zurich Open Repository and Archive (University of Zurich) | 2019 | 720 |
| 27 | A survey of human-in-the-loop for machine learning Xingjiao Wu, Luwei Xiao, Yixuan Sun et al. · Future Generation Computer Systems | 18 May 2022 | 717 |
| 28 | Stochastic Joint Radio and Computational Resource Management for Multi-User Mobile-Edge Computing Systems Yuyi Mao, Jun Zhang, Shenghui Song et al. · IEEE Transactions on Wireless Communications | 23 Jun 2017 | 716 |
| 29 | The Linear Programming Approach to Approximate Dynamic Programming Daniela Pucci de Farias, Benjamin Van Roy · Operations Research | Dec 2003 | 712 |
| 30 | Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning Xianfu Chen, Honggang Zhang, Celimuge Wu et al. · IEEE Internet of Things Journal | 16 Oct 2018 | 704 |
| 31 | Collaborative Cloud and Edge Computing for Latency Minimization Jinke Ren, Guanding Yu, Yinghui He et al. · IEEE Transactions on Vehicular Technology | 11 Mar 2019 | 685 |
| 32 | Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption Ruilong Deng, Rongxing Lu, Chengzhe Lai et al. · IEEE Internet of Things Journal | 2016 | 681 |
| 33 | Age of Information: A New Concept, Metric, and Tool Antzela Kosta, Nikolaos Pappas, Vangelis Angelakis · Foundations and Trends® in Networking | 28 Nov 2017 | 671 |
| 34 | Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks Igor Kadota, Abhishek Kumar Sinha, Elif Uysal‐Biyikoglu et al. · IEEE/ACM Transactions on Networking | 30 Oct 2018 | 649 |
| 35 | A Meta-Analytic Review of Prospective Memory and Aging. Julie D. Henry, Mairi S. Macleod, Louise H. Phillips et al. · Psychology and Aging | 2004 | 609 |
| 36 | A Learning-Based Incentive Mechanism for Federated Learning Yufeng Zhan, Peng Li, Zhihao Qu et al. · IEEE Internet of Things Journal | 21 Jan 2020 | 606 |
| 37 | Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks Jiao Zhang, Xiping Hu, Zhaolong Ning et al. · IEEE Internet of Things Journal | 22 Dec 2017 | 583 |
| 38 | Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems Ming Tang, Vincent W. S. Wong · IEEE Transactions on Mobile Computing | 10 Nov 2020 | 579 |
| 39 | LEO Satellite Constellation for Internet of Things Zhicheng Qu, Gengxin Zhang, Haotong Cao et al. · IEEE Access | 2017 | 575 |
| 40 | Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks Seunghyun Lee, Rui Zhang, Kaibin Huang · IEEE Transactions on Wireless Communications | 6 Aug 2013 | 571 |
| 41 | Resource Scheduling in Edge Computing: A Survey Quyuan Luo, Shihong Hu, Changle Li et al. · IEEE Communications Surveys & Tutorials | 2021 | 566 |
| 42 | Learning-Based Computation Offloading for IoT Devices With Energy Harvesting Minghui Min, Liang Xiao, Ye Chen et al. · IEEE Transactions on Vehicular Technology | 2019 | 563 |
| 43 | Edge AI: A survey Raghubir Singh, Sukhpal Singh Gill · Internet of Things and Cyber-Physical Systems | 2023 | 542 |
| 44 | Sharing memory robustly in message-passing systems Hagit Attiya, Amotz Bar-Noy, Danny Dolev · Journal of the ACM | 3 Jan 1995 | 534 |
| 45 | Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks Mirza Golam Kibria, Kien Trung Nguyen, Gabriel Porto Villardi et al. · IEEE Access | 2018 | 528 |
| 46 | Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing Tao Ouyang, Zhi Zhou, Xu Chen · IEEE Journal on Selected Areas in Communications | 12 Sep 2018 | 523 |
| 47 | Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo · IEEE Signal Processing Magazine | 14 Oct 2014 | 506 |
| 48 | Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes et al. · IEEE Transactions on Cognitive Communications and Networking | 27 Feb 2018 | 494 |
| 49 | Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access Oshri Naparstek, Kobi Cohen · IEEE Transactions on Wireless Communications | 12 Nov 2018 | 489 |
| 50 | CMFL: Mitigating Communication Overhead for Federated Learning Luping Wang, Wei Wang, Bo Li | Jul 2019 | 485 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.