Energy Efficient Collaborative Spectrum Sensing in Cognitive Radio Networks

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Energy Efficient Collaborative Spectrum Sensing in Cognitive Radio Networks

Journal Title: GRD Journal for Engineering - Year 2016, Vol 2, Issue 1

Abstract

Depending on trust management, an energy efficient collaborative spectrum sensing (EE-CSS) protocol is put forward. In contrast to the traditional collaborative spectrum sensing (T-CSS), here we are attaining energy efficiency by limiting the overall count of sensing reports exchanged between the honest secondary users (HSUs) and the secondary user base station (SUBs). In EE-CSS, it is concluded that the least total count of sensing reports needed to fulfill a target global false alarm (FA) and missed detection (MD) probabilities in T-CSS is more. We are calculating steady-state average SU trust value and total count of SU sensing reports transmitted in both T-CSS and EE-CSS. Derivations are made for the global FA and detection probabilities Qf and Qd for a data fusion method. The effect of link outages on Qf and Qd are also examined. The output tells that the energy consumption in T-CSS is comparatively higher than in EE-CSS for long range communications where the transit energy is dominant.

Authors and Affiliations

Mr. S. Esakki Rajavel, Mr. B. Pradheep T Rajan, E. Edinda Christy

Keywords

EE-CSS Protocol T-CSS Data Fusion Techniques

EP ID EP224295
DOI -
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