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Beschreibung
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.
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.
Über den Autor
Xiwen Wang received his PhD in Engineering from China University of Mining and Technology. He is currently Director of the Beijing Huaxia Institute of Industrial Network Intelligent Technology Research and a professor at Nanchang Institute of Technology. He was a post-doctoral research fellow at the Institute of Scientific and Technical Information of China (ISTIC) before serving as Director of Electronic Commerce and of the Industrial 4.0 Institute at the Center for International Economic and Technical Cooperation, Ministry of Industry and Information Technology China. Dr Wang is a member of the Central Working Committee for the Promotion of Technological Innovation and the Central Special Committee on Science and Technology of the Jiusan Society. He has already conducted more than 500 training sessions on 5G and Industry 4.0 for corporate management, e.g. at Huawei, Antfin, OPPO, WILO, and Lufthansa.
Longxiang Gao received his PhD in Computer Science from Deakin University, Australia. He is currently a Senior Lecturer and Co-founder of the Deakin Blockchain Innovation Lab at the School of Information Technology, Deakin University. Before joining the university, he was a post-doctoral research fellow at IBM Research & Development, Australia. His research interests include fog/edge computing, blockchain, data analysis and privacy protection.
Dr. Gao has over 50 publications, including monographs, book chapters, journal and conference papers, to his name, and his work has been published in leading journals, such as IEEE TMC, IEEE IoTJ, IEEE TDSC, IEEE TVT, IEEE TCSS, and IEEE TNSE. He has been Chief Investigator (CI) for more than 20 research projects (with total funding of [...] million), from pure research projects to contracted industry research. He is a senior member of the IEEE.
Inhaltsverzeichnis
Introduction.- Delay Tolerant Networks based Applications.- Routing Protocols in Delay Tolerant Networks.- Social Characteristics based Multiple Dimensional Routing Protocol in Human associated Delay Tolerant Networks.- Data Dissemination in Delay Tolerant Networks with Geographic Information.- Privacy Protected Routing in Delay Tolerant Networks.- Conclusions and Future Work.
Details
Erscheinungsjahr: 2015
Fachbereich: Nachrichtentechnik
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: SpringerBriefs in Computer Science
Inhalt: ix
85 S.
4 s/w Illustr.
20 farbige Illustr.
85 p. 24 illus.
20 illus. in color.
ISBN-13: 9783319181073
ISBN-10: 3319181076
Sprache: Englisch
Herstellernummer: 978-3-319-18107-3
Einband: Kartoniert / Broschiert
Autor: Gao, Longxiang
Yu, Shui
Luan, Tom H.
Zhou, Wanlei
Hersteller: Springer
SpringerBriefs in Computer Science
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 6 mm
Von/Mit: Longxiang Gao (u. a.)
Erscheinungsdatum: 01.06.2015
Gewicht: 0,16 kg
Artikel-ID: 104738283