Energy Efficient Collaborative Spectrum Sensing in Cognitive Radio Networks

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. Citation: Mr.S.Esakki Rajavel, Francis Xavier Engineering College, Tamilnadu,,India; Mr.B.Pradheep T Rajan ,Francis Xavier Engineering College, Tamilnadu,,India; E.Edinda Christy ,Francis Xavier Engineering College, Tamilnadu,,India. "Energy Efficient Collaborative Spectrum Sensing in Cognitive Radio Networks." Global Research and Development Journal For Engineering 21 2016: 26 - 29.