NDLI: Social Relationship Enhanced Predicable Routing in Opportunistic Network

Content Provider	IEEE Xplore Digital Library
Author	Xingguang Xie Yong Zhang Chao Dai Mei Song
Copyright Year	2011
Abstract	Routing is one of the most challenging problems in the opportunistic network owing to the occasion-connected mobile wireless environment. To overcome this weakness, many routing protocols have been put forward to solve it by exploiting the nodes' mobility history. Meanwhile, to parallel the current trend of the social network, some of them design the solution by utilizing the social relationship characteristics from the real world. Nevertheless, few of these works could close the gap between the two totally different meanings and improve the efficiency of the whole network based on both. In this paper, we propose social relationship enhanced predicable routing (SREP) in the opportunistic network. The whole algorithm depends on this truth- the nodes in the opportunistic network only visits some defined place because of its necessary relationship with other people, thus we could adapt the semi-deterministic Markov process to model the behavior of the node. And we also introduce Page Rank algorithm to quantify social degree of node. The simulation shows that SREP is an effective routing protocol in a specific scenario based on the human motion.
Starting Page	268
Ending Page	275
File Size	531619
Page Count	8
File Format	PDF
ISBN	9781457721786
DOI	10.1109/MSN.2011.72
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Social Network Communities Humans Opportunistic Network PageRank Routing Routing protocols Data Dissemination Relays
Content Type	Text
Resource Type	Article

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