TY - GEN
T1 - Improving network connectivity in emergency ad hoc wireless networks
AU - Konak, Abdullah
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84905852080&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905852080&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84905852080
SN - 9780692211946
T3 - ISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management
SP - 36
EP - 44
BT - ISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management
PB - The Pennsylvania State University
T2 - 11th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2014
Y2 - 1 May 2014 through 1 May 2014
ER -