NDLI: An analysis of techniques for opportunistic networking

Content Provider	IEEE Xplore Digital Library
Author	Asandei, A. Dobre, C. Johnson, P.
Copyright Year	2012
Description	Author affiliation: Department of Computer Science and Engineering, University POLITEHNICA of Bucharest, Bucharest, Romania (Asandei, A.; Dobre, C.) \|\| School of Engineering, Technology and Maritime Operations, Liverpool John Moores University, Liverpool, UK (Johnson, P.)
Abstract	Opportunistic networks, as opposed to classic ones, rely on human-carried devices. This leads to a high mobility of all the nodes in the network and a very dynamic topology. Developing good forwarding algorithms for optimum routing in opportunistic networks presents a specific set of challenges. The most notable forwarding solutions rely on social human mobility patterns. They depend on several key factors and assumptions. The purpose of this paper is to provide an increased understanding on how these factors can influence routing performance. For this purpose we focus on the number of copies for each generated message, altruism and frequency of exchanged messages. The analysis is based on data collected from a social tracing experiment conducted at the University Politehnica of Bucharest. The setup and implementation of this experiment will also be presented in this paper.
Starting Page	341
Ending Page	348
File Size	489720
Page Count	8
File Format	PDF
ISBN	9781467329538
e-ISBN	9781467329521
DOI	10.1109/ICCP.2012.6356211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-30
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis routing performance academic trace Peer to peer computing Communities Humans opportunistic networking social networks Routing Educational institutions Mobile handsets mobile networks wireless communication
Content Type	Text
Resource Type	Article

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