Gao longxiang (76 risultati)

Softcover. Condizione: Used. Octavo, vi, ix, 85 pages. In Very Good condition. Paperback binding. Covers dark blue and gray and multicolored with white lettering to the front. Covers have very slight wear including light edge wear. Text block has very slight wear. Illustrated. Shelved in Column C. This brief presents emerging and promising communication methods for network reliability via delay tolerant networks (DTNs). Different from traditional networks, DTNs possess unique features, such as long latency and unstable network topology. As a result, DTNs can be widely applied to critical applications, such as space communications, disaster rescue, and battlefield communications. The brief provides a complete investigation of DTNs and their current applications, from an overview to the latest development in the area. The core issue of data forward in DTNs is tackled, including the importance of social characteristics, which is an essential feature if the mobile devices are used for human communication. Security and privacy issues in DTNs are discussed, and future work is also discussed. 1420111. FP New Rockville Stock. …

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Brand New. 2015 edition. 96 pages. 9.00x6.00x0.25 inches. In Stock.

Condizione: New.

Condizione: New. In English.

Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Paperback. Condizione: Brand New. 350 pages. 9.25x6.10x0.47 inches. In Stock.

Paperback. Condizione: Brand New. 120 pages. 9.25x6.10x0.43 inches. In Stock.

Condizione: New.

Condizione: New.

Condizione: New. pp. 108 1st ed. 2020 edition NO-PA16APR2015-KAP.

Condizione: New. In English.

Condizione: New. pp. 274.

Condizione: As New. Unread book in perfect condition.

Taschenbuch. Condizione: Neu. Delay Tolerant Networks | Longxiang Gao (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | ix | Englisch | 2015 | Springer | EAN 9783319181073 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed post-conference proceedings of the 13th International Conference on Ad Hoc Networks, ADHOCNETS 2021, held in December 2021, and the 16th International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TRIDENTCOM 2021, held in November 2021. Both conferences were held virtually due to COVID 19 pandemic. The 15 full papers of ADHOCNETS 2021 were selected from 29 submissions and cover a variety of network paradigms including ad hoc networks (MANETs), wireless sensor networks (WSNs), vehicular ad hoc networks (Vanets), airborne networks, underwater networks, underground networks, personal area networks, and home networks, etc. It promises a wide range of applications in civilian, commercial, and military areas. The 18 full papers were selected from 47 submissions and deal the emerging technologies such as Industry 4.0, blockchain,deep learning, cloud/edge/fog computing, cyber physical systems, cybersecurity and computer communications. …

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner.The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions.Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.…