Cognitive Location based Mobile Adhoc Networks Implementation with an Android Operating Systems

Article ID

CSTNWS72475

Cognitive Location based Mobile Adhoc Networks Implementation with an Android Operating Systems

Rajaram
Rajaram PCET
Dr. V. Sumathy
Dr. V. Sumathy
DOI

Abstract

Cognitive radio (CR) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. CR networks, equipped with the intrinsic capacities of the cognitive radio, will provide an ultimate spectrumaware communication paradigm in wireless communications. Specifically, in cognitive radio ad hoc networks (CRAHNs), the distributed multihop architecture, the dynamic network topology, and the time and location varying spectrum availability are some of the key distinguishing factors. In this paper, intrinsic properties and current research challenges of the CRAHNs are presented. A particular emphasis is given to distributed coordination between CR users through the establishment of a common control channel. Lastly, a new commission called the park model is explained, where CRAHN users may independently determine their own performance based on pre-decided spectrum. The performance is comparable to MANET routing protocols In this system implementation through real time systems with Specialized ANDROID BASED OPERATING SYSTEMS.

Cognitive Location based Mobile Adhoc Networks Implementation with an Android Operating Systems

Cognitive radio (CR) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. CR networks, equipped with the intrinsic capacities of the cognitive radio, will provide an ultimate spectrumaware communication paradigm in wireless communications. Specifically, in cognitive radio ad hoc networks (CRAHNs), the distributed multihop architecture, the dynamic network topology, and the time and location varying spectrum availability are some of the key distinguishing factors. In this paper, intrinsic properties and current research challenges of the CRAHNs are presented. A particular emphasis is given to distributed coordination between CR users through the establishment of a common control channel. Lastly, a new commission called the park model is explained, where CRAHN users may independently determine their own performance based on pre-decided spectrum. The performance is comparable to MANET routing protocols In this system implementation through real time systems with Specialized ANDROID BASED OPERATING SYSTEMS.

Rajaram
Rajaram PCET
Dr. V. Sumathy
Dr. V. Sumathy

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Rajaram. 2014. “. Global Journal of Computer Science and Technology – E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E4): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 14 Issue E4
Pg. 11- 15
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Cognitive Location based Mobile Adhoc Networks Implementation with an Android Operating Systems

Rajaram
Rajaram PCET
Dr. V. Sumathy
Dr. V. Sumathy

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