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Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs
May 2009 (vol. 8 no. 5)
pp. 606-621
ASCII Text
x 
 
Elizabeth M. Daly, Mads Haahr, "Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs," IEEE Transactions on Mobile Computing, vol. 8, no. 5, pp. 606-621, May, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TMC.2008.161,
author = {Elizabeth M. Daly and Mads Haahr},
title = {Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs},
journal ={IEEE Transactions on Mobile Computing},
volume = {8},
number = {5},
issn = {1536-1233},
year = {2009},
pages = {606-621},
doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2008.161},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Mobile Computing
TI - Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs
IS - 5
SN - 1536-1233
SP606
EP621
EPD - 606-621
A1 - Elizabeth M. Daly,
A1 - Mads Haahr,
PY - 2009
KW - Store and forward networks
KW - Wireless communication
VL - 8
JA - IEEE Transactions on Mobile Computing
ER -
 
Elizabeth M. Daly, Distributed Systems Group, Trinity College Dublin, Dublin
Mads Haahr, Distributed Systems Group, Trinity College Dublin, Dublin
Message delivery in sparse Mobile Ad hoc Networks (MANETs) is difficult due to the fact that the network graph is rarely (if ever) connected. A key challenge is to find a route that can provide good delivery performance and low end-to-end delay in a disconnected network graph where nodes may move freely. We cast this challenge as an information flow problem in a social network. This paper presents social network analysis metrics that may be used to support a novel and practical forwarding solution to provide efficient message delivery in disconnected delay-tolerant MANETs. These metrics are based on social analysis of a node's past interactions and consists of three locally evaluated components: a node's "betweenness" centrality (calculated using ego networks) and a node's social 'similarity' to the destination node and a node's tie strength relationship with the destination node. We present simulations using three real trace data sets to demonstrate that by combining these metrics delivery performance may be achieved close to Epidemic Routing but with significantly reduced overhead. Additionally, we show improved performance when compared to PRoPHET Routing.

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Index Terms:
Store and forward networks, Wireless communication
Citation:
Elizabeth M. Daly, Mads Haahr, "Social Network Analysis for Information Flow in Disconnected Delay-Tolerant MANETs," IEEE Transactions on Mobile Computing, vol. 8, no. 5, pp. 606-621, May 2009, doi:10.1109/TMC.2008.161
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