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Reseach Article

Analysis of Community Behavior of Delay Tolerant Protocols

by Ashish Kumar, Preeti Nagrath
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 2
Year of Publication: 2012
Authors: Ashish Kumar, Preeti Nagrath
10.5120/9668-4085

Ashish Kumar, Preeti Nagrath . Analysis of Community Behavior of Delay Tolerant Protocols. International Journal of Computer Applications. 60, 2 ( December 2012), 46-51. DOI=10.5120/9668-4085

@article{ 10.5120/9668-4085,
author = { Ashish Kumar, Preeti Nagrath },
title = { Analysis of Community Behavior of Delay Tolerant Protocols },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 2 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 46-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number2/9668-4085/ },
doi = { 10.5120/9668-4085 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:53.650903+05:30
%A Ashish Kumar
%A Preeti Nagrath
%T Analysis of Community Behavior of Delay Tolerant Protocols
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 2
%P 46-51
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Delay tolerant networks (DTNs) constitute the category of Mobile Ad hoc Networks. They are characterized by the absence of end-to-end path connectivity with limited data sources and power. DTN is a field where intermittent data communication is always a challenging task. To overcome the network partitioning, node mobility is exploited to increase message delivery. Human mobility patterns have a great affect in increasing performance of routing protocol. In this paper, we have addressed, gathered and analyzed various routing protocols in DTNs. These protocols use the constructive or destructive social characteristics for improving the performance in message forwarding. We have studied the impact of user's social relationships on the protocols' performance. .

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Index Terms

Computer Science
Information Sciences

Keywords

Community Similarity Friendship asynchronous