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NeTS: Small: Optimizing Information Freshness in Wireless Networks

NeTS：小型：优化无线网络中的信息新鲜度

基本信息

批准号：
1713725
负责人：
Eytan Modiano
金额：
$ 50万
依托单位：
Massachusetts Institute of Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-10-01 至 2022-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1713725&HistoricalAwards=false
关键词：
NeTS Small Optimizing Information Freshness

项目摘要

Future Internet-of-Things (IoT) applications will increasingly rely on the exchange of delay sensitive information. Application domains such as autonomous vehicles, industrial control systems, virtual reality, and sensor networks, heavily rely upon the distribution of time-critical information. Age of Information (AoI) is a recently proposed performance metric that measures the freshness of the information from the perspective of the application. AoI measures the time that elapsed from the moment that the most recently received data was generated to the present time. This project develops an AoI framework for characterizing latency in wireless networks, and mechanisms for minimizing latency; thus enabling a wide range of societal benefits including the control of critical infrastructure, mobile health care, and automated manufacturing. The goal of this project is to extend the Age-of-Information framework to the wireless network setting. In particular, this project advances the theory of AoI from the simple and abstract queueing models to realistic wireless network models, taking into account the effects of wireless interference, transmission scheduling, and multi-hop routing. The project will consider single-hop networks, such as LTE or WiFi; multi-hop networks such as sensor networks; and mobile ad-hoc networks. The goal is to understand the impact of network topology, node mobility, interference and channel reliability on AoI, and to develop network control mechanisms that minimize AoI under different wireless network settings. The project will progressively extend the AoI framework to the wireless setting: Starting with simple single-hop networks and extending to mobile multi-hop networks. The research agenda includes the following tasks: 1)Single-Hop Wireless Networks: Develop methods to analyze AoI in single-hop wireless networks, and devise transmission scheduling schemes for minimizing AoI; 2) Multi-Hop Networks: develop routing and scheduling schemes for minimizing AoI in multi-hop wireless networks; and 3)Mobile Wireless Networks: develop fundamental limits on AoI in mobile networks, and develop packet relaying schemes for minimizing AoI.

未来的物联网（IoT）应用将越来越依赖于延迟敏感信息的交换。自动驾驶汽车、工业控制系统、虚拟现实和传感器网络等应用领域严重依赖于时间关键信息的分发。信息年龄（AoI）是最近提出的性能度量，其从应用的角度测量信息的新鲜度。 AoI测量从生成最近接收的数据到当前时间所经过的时间。该项目开发了一个AoI框架，用于表征无线网络中的延迟，以及最小化延迟的机制;从而实现了广泛的社会效益，包括关键基础设施的控制，移动的医疗保健和自动化制造。这个项目的目标是将信息共享框架扩展到无线网络环境。特别地，本项目将AoI理论从简单抽象的路由模型推进到现实的无线网络模型，考虑了无线干扰、传输调度和多跳路由的影响。该项目将考虑单跳网络，如LTE或WiFi;多跳网络，如传感器网络;和移动的ad-hoc网络。目标是了解网络拓扑结构，节点移动性，干扰和信道可靠性对AoI的影响，并开发在不同无线网络设置下最小化AoI的网络控制机制。该项目将逐步将AoI框架扩展到无线环境：从简单的单跳网络开始，扩展到移动的多跳网络。研究议程包括以下任务：1）单跳无线网络：开发分析单跳无线网络中AoI的方法，并设计用于最小化AoI的传输调度方案; 2）多跳网络：开发用于最小化多跳无线网络中AoI的路由和调度方案;以及3）移动的无线网络：开发对移动的网络中的AoI的基本限制，并开发用于最小化AoI的分组中继方案。

项目成果

期刊论文数量（13）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Distributed Scheduling Algorithms for Optimizing Information Freshness in Wireless Networks

DOI：
10.1109/spawc.2018.8445979
发表时间：
2018-03
期刊：
2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
影响因子：
0
作者：
Rajat Talak;S. Karaman;E. Modiano
通讯作者：
Rajat Talak;S. Karaman;E. Modiano

Aging Wireless Bandits: Regret Analysis and Order-Optimal Learning Algorithm

DOI：
10.23919/wiopt52861.2021.9589673
发表时间：
2021-10
期刊：
2021 19th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)
影响因子：
0
作者：
Eray Unsal Atay;I. Kadota;E. Modiano
通讯作者：
Eray Unsal Atay;I. Kadota;E. Modiano

Optimizing Age of Information with Correlated Sources

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