Proceedings ArticleDOI
Handover based spectrum allocation in cognitive radio networks
M. Suganya,H. Anandakumar +1 more
- pp 215-219
TLDR
A novel protocol is proposed in which spectrum allocation can be done by increasing the transmission range and communication quality, lowering the energy consumption and delays and a novel standard for cognitive radio networks is proposed.Abstract:
There is a rapid development in wireless technologies with the increase of congestible frequency spectrums, research study reveals that there is a problem in spectrum management and spectrum allocation. To overcome this problem there is a new technology known as cognitive radio technology in wireless sensor networks called as CWSNs. The first standard for cognitive radio networks is IEEE 802.22, but this standard cannot overcome the problem of spectrum management and spectrum allocation. In this paper we propose a novel protocol in which spectrum allocation can be done by increasing the transmission range and communication quality, lowering the energy consumption and delays.read more
Citations
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Journal ArticleDOI
A bio-inspired swarm intelligence technique for social aware cognitive radio handovers
H. Anandakumar,K. Umamaheswari +1 more
TL;DR: Experimental results show that the proposed SCH-SpecPSO outperforms 75% more than state of art mobile social networks by optimizing various handover issues.
Journal ArticleDOI
Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers
H. Anandakumar,K. Umamaheswari +1 more
TL;DR: The SpecPSO is proposed for optimizing handovers using supervised machine learning technique for performing dynamic handover by adapting to the environment and make smart decisions compared to the traditional cooperative spectrum sensing (CSS) techniques.
Book ChapterDOI
Social Aware Cognitive Radio Networks: Effectiveness of Social Networks as a Strategic Tool for Organizational Business Management
TL;DR: This chapter delves into the cognitive radio (CR) and its social relations and makes sufficient exploits in establishing a scheme that will be based on social-based cooperative sensing scheme (SBC).
Proceedings ArticleDOI
AODV Route Discovery and Route Maintenance in MANETs
Deepak S,Anandakumar H +1 more
TL;DR: This paper discusses the functioning of AODV and how the process of route discovery and route maintenance takes place and there are three types of messages that will govern the working process.
Journal ArticleDOI
Classification of sentence level sentiment analysis using cloud machine learning techniques
TL;DR: A completely unique emotional modeling methodology for incorporating human feeling into intelligent systems is presented, which includes a technique to elicit emotion factors from users, a replacement illustration of emotions and a framework for predicting and pursuit user’s emotional mechanical phenomenon over time.
References
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Cognitive Radio An Integrated Agent Architecture for Software Defined Radio
TL;DR: This article briefly reviews the basic concepts about cognitive radio CR, and the need for software-defined radios is underlined and the most important notions used for such.
Proceedings ArticleDOI
Cognitive radio for flexible mobile multimedia communications
TL;DR: This paper characterizes the potential contributions of cognitive radio to spectrum pooling and outlines an initial framework for formal radio-etiquette protocols.
Journal ArticleDOI
Cognitive radio for flexible mobile multimedia communications
Joseph Mitola,Joseph Mitola +1 more
TL;DR: This paper characterizes the potential contributions of cognitive radio to spectrum pooling and outlines an initial framework for formal radio-etiquette protocols.
Proceedings ArticleDOI
Optimal admission control in cognitive radio networks
TL;DR: It is shown that the reservation parameter cannot be adequately adjusted as a result of maximizing the throughput of secondary users, and two alternative configuration methods are proposed and explored.
Proceedings ArticleDOI
Spectrum Allocation in Cognitive Radio Networks Using Swarm Intelligence
TL;DR: The paper gives an effective method for the spectrum allocation of cognitive radio networks and shows that the proposed method provides a good tradeoff between the system’s sum bandwidth reward and the secondary users’ access fairness, and has a better system overall performance.
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Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers
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A bio-inspired swarm intelligence technique for social aware cognitive radio handovers
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An Efficient Optimized Handover in Cognitive Radio Networks using Cooperative Spectrum Sensing
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