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General Information
    • ISSN: 2010-3700
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest, Electronic Journals Library, DOAJ and EI (INSPEC, IET).
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(2): 206-208 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.303

An Adaptive Mobile Phone Bandwidth Allocation System for Disaster and Emergency Communications

Onur Cagirici and Mehmet S. Unluturk
Abstract—Since the population density grows in metropolis, more and more people lose their lives in case of disasters. In order to locate and save these people, communication tools are essential. Therefore, the importance of communication is increased recently. Systems such as Global Positioning System (GPS) are not consistent enough to locate and save a person on time. We have developed a system that allows cellular phone users to communicate directly, in a very short time. We use frequency-division multiplexer (FDM) together with time-division multiplexer (TDM) to give all the users enough time to communicate. In this architecture, each person who desires to make phone calls in case of an emergency would be able to establish calls with a round-robin algorithm. The system is also able to adjust the time limit for the users.

Index Terms—Emergency communications, bandwidth allocation, adaptive systems.

The authors are with the University of Economics, Dept. of Software Engineering 35330 Izmir, Turkey (e-mail: onur.cagirici@ieu.edu.tr, suleyman.unluturk@ieu.edu.tr).

[PDF]

Cite:Onur Cagirici and Mehmet S. Unluturk, "An Adaptive Mobile Phone Bandwidth Allocation System for Disaster and Emergency Communications," International Journal of Machine Learning and Computing vol. 3, no. 2, pp. 206-208, 2013.

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