This paper examines the performance of cooperative the energy estimation and detection circuit of Figure 1. The spectrum sensing, using energy detection, in Suzuki fading decision is made by comparing the decision statistic Y, which channels. Sub-optimal centralized detection approaches are corresponds to energy collected in the observation time T, to an examined where decisions are made based on identical tests appropriate threshold that is traditionally selected to satisfy the performed at the individual radios. Decisions are performed at a false alarm rate specification of the detector. fusion center using a counting rule that encompasses the OR, AND, and majority rules as special cases. Analytical and simulation results are presented for Rayleigh, Log-normal and _ 1 T H Suzuki distributions.To

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Abstract. We study the minimum connected sensor cover problem (MIN-CSC) and the budgeted connected sensor cover (Budgeted-CSC) problem, both motivated by important applications in wireless sensor networks. In both problems, we are given a set of sensors and a set of target points in the Euclidean plane. In MIN-CSC, our goal is to find a set of sensors of minimum cardinality, such that all target points are covered, and all sensors can communicate with each other (i.e., the communication graph is connected). We obtain a constant factor approximation algorithm, assuming that the ratio between the sensor radius and communication radius is bounded. In Budgeted-CSC problem, our goal is to choose a set of B sensors, such that the number of targets covered by the chosen sensors is maximized and the communication graph is connected. We also obtain a constant approximation under the same assumption.