Improving network connectivity in emergency ad hoc wireless networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management
PublisherThe Pennsylvania State University
Pages36-44
Number of pages9
ISBN (Print)9780692211946
StatePublished - 2014
Event11th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2014 - University Park, PA, United States
Duration: May 1 2014May 1 2014

Publication series

NameISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management

Other

Other11th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2014
Country/TerritoryUnited States
CityUniversity Park, PA
Period5/1/145/1/14

All Science Journal Classification (ASJC) codes

  • Information Systems

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