Paper Info
Title
Data dissemination using interest-tree in socially aware networking
Abstract
Interrelation between interests and its impact on data dissemination is explored.A layered structure is presented to model various relationships between interests.An Interest-Tree based data dissemination scheme is proposed to improve efficiency.Extensive simulations verify performance and effectiveness of the proposed scheme. Socially aware networking (SAN) exploits social characteristics of mobile users to streamline data dissemination protocols in opportunistic environments. Existing protocols in this area utilized various social features such as user interests, social similarity, and community structure to improve the performance of data dissemination. However, the interrelationship between user interests and its impact on the efficiency of data dissemination has not been explored sufficiently. In this paper, we analyze various kinds of relationships between user interests and model them using a layer-based structure in order to form social communities in SAN paradigm. We propose Int-Tree, an Interest-Tree based scheme which uses the relationship between user interests to improve the performance of data dissemination. The core of Int-Tree is the interest-tree, a tree-based community structure that combines two social features, i.e., density of a community and social tie, to support data dissemination. The simulation results show that Int-Tree achieves higher delivery ratio, lower overhead, in comparison to two benchmark protocols, PROPHET and Epidemic routing. In addition, Int-Tree can perform with 1.36 hop counts in average, and tolerable latency in terms of buffer size, time to live (TTL) and simulation duration. Finally, Int-Tree keeps stable performance with various parameters.
Year
DOI
Venue
2015
10.1016/j.comnet.2015.08.047
Computer Networks
Keywords
Field
DocType
Data dissemination,Social awareness,Community structure,User interest,Tree structure
Latency (engineering),Computer science,Social consciousness,Computer network,Exploit,Dissemination,Tree structure,Time to live,Distributed computing
Journal
Volume
Issue
ISSN
91
C
Computer Networks, Vol. 91, November 2015, pp: 495-507
Citations 
PageRank 
References 
2
0.37
33
Authors
6
Name
Order
Citations
PageRank
Feng Xia12013153.69
Qiuyuan Yang2344.32
Jie Li3748.47
Jiannong Cao45226425.12
Li Liu5493.76
Ahmedin Mohammed Ahmed6906.26