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Encountering mobile data dynamics in...
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Wang, Jie.
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Encountering mobile data dynamics in heterogeneous wireless networks
Record Type:
Electronic resources : Monograph/item
Title/Author:
Encountering mobile data dynamics in heterogeneous wireless networks/ by Jie Wang, Wenye Wang, Xiaogang Wang.
Author:
Wang, Jie.
other author:
Wang, Wenye.
Published:
Cham :Springer Nature Switzerland : : 2024.,
Description:
xiv, 175 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Preface -- Introduction -- Information Dynamics -- Coverage Dynamics -- Governing Rules -- Spectrum Dynamics -- Conclusion and Future Directions.
Contained By:
Springer Nature eBook
Subject:
Wireless communication systems. -
Online resource:
https://doi.org/10.1007/978-3-031-62906-8
ISBN:
9783031629068
Encountering mobile data dynamics in heterogeneous wireless networks
Wang, Jie.
Encountering mobile data dynamics in heterogeneous wireless networks
[electronic resource] /by Jie Wang, Wenye Wang, Xiaogang Wang. - Cham :Springer Nature Switzerland :2024. - xiv, 175 p. :ill. (some col.), digital ;24 cm.
Preface -- Introduction -- Information Dynamics -- Coverage Dynamics -- Governing Rules -- Spectrum Dynamics -- Conclusion and Future Directions.
This book offers a systematic view of data services in heterogeneous wireless networks, from the perspectives of cause, governing rules, and impact of data's mobility on such networks. Specifically, it covers application requirements break-down, network modeling, performance analysis and evaluation by examining mobile data dynamics that are particularly important to data service provisioning. Additionally, application prospects such as information dissemination, fog computing, Internet-of-Things and dynamic spectrum access are discussed on the basis of these dynamics. Theoretic analysis, example illustrations, and algorithms are also presented to provide a concise coverage of this important area of networking. Mobile data dynamics refers to the stochastic processes of information, geographical coverage and spectrum, which accompanies the movements of data across wireless networks. Owing to the challenge raised by a high level of network heterogeneity, and the innate requirement on scalability, knowledge on the evolution of mobile data dynamics is essential to the design and deployment of emerging data services and applications, such as Internet-of-Things, data/task offloading and edge-based machine learning/inference. This book is designed for researchers and advanced-level students in the field of wireless networking and edge computing, who seek to understand the models and evolutions of mobile data dynamics for future edge applications. Practitioners, who specialize in the design, operation and maintenance of edge computing systems will also want to purchase this book as a reference.
ISBN: 9783031629068
Standard No.: 10.1007/978-3-031-62906-8doiSubjects--Topical Terms:
567106
Wireless communication systems.
LC Class. No.: TK5103.2
Dewey Class. No.: 621.382
Encountering mobile data dynamics in heterogeneous wireless networks
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This book offers a systematic view of data services in heterogeneous wireless networks, from the perspectives of cause, governing rules, and impact of data's mobility on such networks. Specifically, it covers application requirements break-down, network modeling, performance analysis and evaluation by examining mobile data dynamics that are particularly important to data service provisioning. Additionally, application prospects such as information dissemination, fog computing, Internet-of-Things and dynamic spectrum access are discussed on the basis of these dynamics. Theoretic analysis, example illustrations, and algorithms are also presented to provide a concise coverage of this important area of networking. Mobile data dynamics refers to the stochastic processes of information, geographical coverage and spectrum, which accompanies the movements of data across wireless networks. Owing to the challenge raised by a high level of network heterogeneity, and the innate requirement on scalability, knowledge on the evolution of mobile data dynamics is essential to the design and deployment of emerging data services and applications, such as Internet-of-Things, data/task offloading and edge-based machine learning/inference. This book is designed for researchers and advanced-level students in the field of wireless networking and edge computing, who seek to understand the models and evolutions of mobile data dynamics for future edge applications. Practitioners, who specialize in the design, operation and maintenance of edge computing systems will also want to purchase this book as a reference.
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