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Distribution of Age of Information
Distribution of Age of Information
Knygos.lt klubas Knygos.lt nariams
75,39 €
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88,69 €
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This book provides the first comprehensive treatment of the marginal and joint distributions of Age of Information (AoI), which is a key performance metric for Internet of Things (IoT)-enabled real-time applications. The authors apply their general distributional results of AoI to derive marginal or joint higher-order statistics of age processes, such as the variance of each age process and the correlation coefficients between all possible pairwise combinations of age processes. The book includ…

Distribution of Age of Information (el. knyga) (skaityta knyga) | knygos.lt

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This book provides the first comprehensive treatment of the marginal and joint distributions of Age of Information (AoI), which is a key performance metric for Internet of Things (IoT)-enabled real-time applications. The authors apply their general distributional results of AoI to derive marginal or joint higher-order statistics of age processes, such as the variance of each age process and the correlation coefficients between all possible pairwise combinations of age processes. The book includes examples under a variety of queuing disciplines and status updating systems settings, including those powered by energy harvesting. The authors also highlight promising directions for future research in the area. This book is an essential resource for researchers working on AoI, as well as advanced graduate students.

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This book provides the first comprehensive treatment of the marginal and joint distributions of Age of Information (AoI), which is a key performance metric for Internet of Things (IoT)-enabled real-time applications. The authors apply their general distributional results of AoI to derive marginal or joint higher-order statistics of age processes, such as the variance of each age process and the correlation coefficients between all possible pairwise combinations of age processes. The book includes examples under a variety of queuing disciplines and status updating systems settings, including those powered by energy harvesting. The authors also highlight promising directions for future research in the area. This book is an essential resource for researchers working on AoI, as well as advanced graduate students.

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