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Author
Abdullah Konak
Title
Improving network connectivity in emergency ad hoc wireless networks
Type
Conference Article
Year
2014
Publication
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2014
Volume
Issue
Pages
36-44
Keywords
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
Abstract
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.
Address
Penn State Berks, United States
Corporate Author
Thesis
Publisher
The Pennsylvania State University
Place of Publication
University Park, PA
Editor
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
9780692211946
Medium
Track
Analytic Modeling and Simulation
Expedition
Conference
11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
659
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