ACognitive Radio Ad Hoc Network’s Based Disaster Management Scheme with Efficient Spectrum Management, Collaboration and Interoperability

Volume 11  Issue 1    2017

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Author(s): Noman Islam, Ghazala Shafi Sheikh, Zeeshan Islam
Abstract In this work, a disaster management scheme based on cognitive radio ad hoc network (CRAHN) has been presented. Disaster management has been a big problem for mankind for years. However, still not much research work has been presented on this problem. Technology has been employed in past few years to address this problem. Cognitive radio ad hoc network presents a viable solution for disaster management. It can be deployed rapidly without infrastructure and it solves the spectrum scarcity and congestion issues that arise during disaster. This paper presents a novel solution for disaster management. It provides a multi-layer perceptron (MLP) based disaster detection scheme based on WSN. To solve the spectrum scarcity problem, a MLP based spectrum management scheme has been proposed. In order to ensure collaboration among rescue workers during disaster, a novel service discovery scheme has been proposed. To ensure interoperability during communication, XMLformat has been recommended. A real-time GUI has been proposed to provide shared situation awareness to rescue workers and enabling better decision making. The proposed approach has been implemented in NS-2 simulator. The results show accurate disaster detection, efficient spectrum usage, and interoperability and collaboration among nodes with reduced latency.
Keywords disaster management, cognitive radio ad hoc networks, CRAHN, spectrummanagement, situation awareness, interoperability.
Year 2017
Volume 11
Issue 1
Type Research paper, manuscript, article
Journal Name Journal of Information & Communication Technology
Publisher Name ILMA University
Jel Classification -
DOI -
ISSN no (E, Electronic) 2075-7239
ISSN no (P, Print) 2415-0169
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Manuscript Processing Blind Peer Reviewed
Format PDF
Paper Link https://jict.ilmauniversity.edu.pk/journal/jict/11.1/5.pdf
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