Delay Tolerant Networks (Paperback, 2015 ed.)

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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.

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Product Description

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.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

SpringerBriefs in Computer Science

Release date

May 2015

Availability

Expected to ship within 10 - 15 working days

First published

2015

Authors

, , ,

Dimensions

235 x 155 x 5mm (L x W x T)

Format

Paperback

Pages

85

Edition

2015 ed.

ISBN-13

978-3-319-18107-3

Barcode

9783319181073

Categories

LSN

3-319-18107-6



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