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Improving network connectivity in emergency ad hoc wireless networks
Abdullah Konak
author
2014
The Pennsylvania State University
University Park, PA
English
Wireless Ad Hoc Networks (MANETs) can to provide first responders and disaster management agencies with a reliable communication network in the event of a large-scale natural disaster that devastates majority of the existing communication infrastructure. Without requiring a fixed infrastructure, MANETs can be quickly deployed after a large-scale natural disaster or a terrorist attack. On the other hand, MANETs have dynamic topologies which could be disconnected because of the mobility of nodes. This paper presents a decentralized approach to maintain the connectivity of a MANET using autonomous, intelligent agents. Concepts from the social network analysis along with flocking algorithms are utilized to guide the deployment decision of agents. Unlike a basic flocking algorithm where all nodes have the same importance, network metrics are used to quantify the relative importance of nodes. Computational results are presented to demonstrate the effect of various local agent behaviors on the global network connectivity.
Ad hoc networks
Artificial intelligence
Disaster prevention
Disasters
Information systems
Intelligent agents
Social networking (online)
Ad hoc wireless networks
Communication infrastructure
Computational results
Decentralized approach
Flocking
Network connectivity
Reliable communication
Swarm Intelligence
Mobile ad hoc networks
exported from refbase (http://idl.iscram.org/show.php?record=659), last updated on Tue, 04 Aug 2015 11:36:44 +0200
text
http://idl.iscram.org/files/konak/2014/659_Konak2014.pdf
AbdullahKonak2014
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2014
S.R. Hiltz
M
S
Pfaff
editor
11th International ISCRAM Conference on Information Systems for Crisis Response and Management
2014
The Pennsylvania State University
University Park, PA
conference publication
36
44
9780692211946
2411-3387
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