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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.8, Issue:21)
Article Information:

Learning System for Proactive Pre-emptive Unified Spectrum Handoff (PRO-PUSH) in Cognitive Radio Mobile Ad Hoc Networks

S. Nejatian, S.K. Syed-yusof, N.M. Abdul Latiff and W. Maqbool
Corresponding Author:  W. Maqbool 
Submitted: August ‎22, ‎2014
Accepted: ‎September ‎22, ‎2014
Published: December 05, 2014
Abstract:
The aim of this study is to introduce a conceptual framework for the new approach Intelligent Proactive Pre-emptive Unified Spectrum Handoff (IP PRO-PUSH) algorithm is presented, which is a highly potential intelligent technology to intelligently address the spectrum scarcity challenges in Cognitive Radio Mobile Ad hoc Networks (CR-MANETs). The fact that spectrum is a limited natural resource poses technology challenge to ensure the available frequency is used efficiently and able to cope with new services which definitely requires more bandwidth in the future. However, over the past years, traditional approaches to spectrum management have been challenged by new insights into actual use of spectrum. In order to improve the utilization of the overall radio spectrum, the Cognitive Radio (CR) is a useful solution to this low utilization of the radio spectrum. The variation in spectrum band is called spectrum mobility. The objective of the current study is to investigate the Intelligent-Based (IB) cognitive radio learning for IP Pro-PUSH and local routing based on spectrum mobility in mobile Cognitive Radio Ad hoc Networks (CR-MANET) along with a conceptual framework and its connections.

Key words:  Cognitive radio, dynamic spectrum allocation, handoff management, intelligent systems, learning, ,
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Cite this Reference:
S. Nejatian, S.K. Syed-yusof, N.M. Abdul Latiff and W. Maqbool, . Learning System for Proactive Pre-emptive Unified Spectrum Handoff (PRO-PUSH) in Cognitive Radio Mobile Ad Hoc Networks. Research Journal of Applied Sciences, Engineering and Technology, (21): 2188-2194.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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