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Encountering Mobile Data Dynamics In Heterogeneous Wireless Networks eBook

by Jie Wang, Wenye Wang e Xiaogang Wang
language: english
Publisher: Springer Nature Switzerland, July of 2024 ‧
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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.

Encountering Mobile Data Dynamics In Heterogeneous Wireless Networks

by Jie Wang, Wenye Wang e Xiaogang Wang

Property Description
ISBN: 9783031629068
Publisher: Springer Nature Switzerland
Release Date: July of 2024
Language: English
Format: eBook
File Format and Compatibility:
Collection: Computer Science
Categories: eBooks in English > Engineering > Electricity and Energy
EAN: 9783031629068
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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