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The Fundamental Nature of Age of Incorrect Information.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Fundamental Nature of Age of Incorrect Information./
作者:
Chen, Yutao.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
53 p.
附註:
Source: Masters Abstracts International, Volume: 82-05.
Contained By:
Masters Abstracts International82-05.
標題:
Electrical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28030175
ISBN:
9798684637254
The Fundamental Nature of Age of Incorrect Information.
Chen, Yutao.
The Fundamental Nature of Age of Incorrect Information.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 53 p.
Source: Masters Abstracts International, Volume: 82-05.
Thesis (M.S.)--University of Maryland, College Park, 2020.
This item must not be sold to any third party vendors.
Age of Incorrect Information (AoII) is a newly introduced metric that captures not only the freshness of information but also the information content of the transmitted packets and the knowledge at the monitor. It overcomes the shortcomings of Age of Information (AoI) in many applications that involve the problem of remotely estimating an event in real-time. However, the fundamental nature of AoII has been elusive so far. This thesis considers a system in which a transmitter sends updates about a Markovian source to a remote monitor through an unreliable channel. By leveraging the notion of Markov Decision Process (MDP), it is shown that a simple "always update" policy minimizes the AoII. The performances of "always update" policy as well as a more general transmission policy - "threshold update" policy are analyzed in this thesis. Lastly, numerical results that highlight the effects of the parameters on the performances of these two transmission policies are provided.
ISBN: 9798684637254Subjects--Topical Terms:
649834
Electrical engineering.
Subjects--Index Terms:
Age of incorrect information
The Fundamental Nature of Age of Incorrect Information.
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Age of Incorrect Information (AoII) is a newly introduced metric that captures not only the freshness of information but also the information content of the transmitted packets and the knowledge at the monitor. It overcomes the shortcomings of Age of Information (AoI) in many applications that involve the problem of remotely estimating an event in real-time. However, the fundamental nature of AoII has been elusive so far. This thesis considers a system in which a transmitter sends updates about a Markovian source to a remote monitor through an unreliable channel. By leveraging the notion of Markov Decision Process (MDP), it is shown that a simple "always update" policy minimizes the AoII. The performances of "always update" policy as well as a more general transmission policy - "threshold update" policy are analyzed in this thesis. Lastly, numerical results that highlight the effects of the parameters on the performances of these two transmission policies are provided.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28030175
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