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Joint Optimal Sensor Selection and Scheduling in Dynamic Spectrum Access Networks ABSTRACT Spectrum sensing is key to the realization of dynamic spectrum access. To protect primary users’ communications from the interference caused by secondary users, spectrum sensing must meet the strict detectability requirements set by regulatory bodies, such as the FCC. Such strict detection requirements, however, can hardly be achieved using PHY-layer sensing techniques alone with one-time sensing by only a single sensor. In this paper, we jointly exploit two MAC-layer sensing methods cooperative sensing and sensing scheduling— to improve spectrum sensing performance, while incurring minimum sensing overhead. While these sensing methods have been studied individually, little has been done on their combinations and the resulting benefits. Specifically, we propose to construct a profile of the primary signal’s RSSs and design a simple, yet near-optima
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Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
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IEEE PROJECTS 2013-2014
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ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
Joint Optimal Sensor Selection and Scheduling in Dynamic Spectrum Access Networks
ABSTRACT
Spectrum sensing is key to the realization of dynamic spectrum access. To
protect primary users’ communications from the interference caused by secondary
users, spectrum sensing must meet the strict detectability requirements set by
regulatory bodies, such as the FCC. Such strict detection requirements, however, can
hardly be achieved using PHY-layer sensing techniques alone with one-time sensing by
only a single sensor. In this paper, we jointly exploit two MAC-layer sensing methods
cooperative sensing and sensing scheduling— to improve spectrum sensing
performance, while incurring minimum sensing overhead. While these sensing
methods have been studied individually, little has been done on their combinations and
the resulting benefits. Specifically, we propose to construct a profile of the primary
signal’s RSSs and design a simple, yet near-optimal, incumbent detection rule. Based on
this constructed RSS profile, we develop an algorithm to find 1) an optimal set of
sensors; 2) an optimal point at which to stop scheduling additional sensing; and 3) an
optimal sensing duration for one-time sensing, so as to make a tradeoff between
detection performance and sensing overhead. Our evaluation results show that the
proposed sensing algorithms reduce the sensing overhead by up to 65 percent, while
meeting the requirements of both false-alarm and misdetection probabilities of less than
0.01.
ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
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The Institute of Electrical and Electronics Engineers or IEEE (read eye-triple-e) is Incorporated in the State of New York, United States. It was formed in 1963 by the merger of the Institute of Radio Engineers (IRE, founded 1912) and the American Institute of Electrical Engineers (AIEE, founded 1884). A membership organization comprised of engineers, scientists and students that sets standards for computers and communications. It is a nonprofit organization with more than 365,000 members in around 150 countries.
The IEEE describes itself as "the world's largest technical professional society -- promoting the development and application of electro technology and allied sciences for the benefit of humanity, the advancement of the profession, and the well-being of our members."
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ZEBROS PROJECTS
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : [email protected] mob: 99400 98300
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0th Review 1st Review
Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture
Literature Survey Module List Module Description Data Flow Diagram Level DFD Module Wise DFD Problem Definition Review Document Explanation
2nd Review 3rd Review
Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two
module Review Document Explanation
Conclusion References Future Enhancement 65% code (Executable Format) Required Software Review Document Explanation
Final Review
Complete Code with Enhancement
Final Document (University Standard Format)
Complete Explanation for Project Concept & Code