This study evaluates the performance of the energy detection based spectrum sensing technique in noisy and fading environments. Both single user detection and cooperative detection situations were investigated. Closed form solutions for the probabilities of detection and false alarm were derived. Analytical results were verified by numerical computations using Monte Carlo method in MATLAB. The ...

Energy detection constitutes a preferred approach for spectrum sensing in cognitive radio due to its simplicity and applicability (it works irrespective of the signal format to be detected) as well as its low computational and implementation costs. The main drawback, however, is its well-known detection performance limitations. Various alternative detection methods have been shown to outperform...

Spectrum sensing is one of the great challenges in cognitive radio because growing demands of bandwidth for wireless applications has put a lot of constraints on the available radio spectrum which is limited and precious. Energy detection is now a days quite popular sensing technique for cognitive radio because of its advantages. On the basis of energy detection, a number of techniques have bee...

mobile sensor networks rely heavily on inter-sensor connectivity for collection of data. nodes in these networks monitor different regions of an area of interest and collectively present a global overview of some monitored activities or phenomena. a failure of a sensor leads to loss of connectivity and may cause partitioning of the network into disjoint segments. a number of approaches have bee...

in recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. detection of traffic signs is an effective method to reach the mentioned aims. in this paper a new intelligent driver assistance system based on traffic sig...

In this study, we analyzed an intra-cluster based cooperative energy detection between source (S) and destination (D), the network model consisting of one source, one destination and M number of clusters between the source and destination and each cluster consisting of N number of cognitive relays. We analyzed the performance of inter-cluster and intra-cluster cooperative energy detection. We d...

Vibration based techniques of structural damage detection using model updating method, are computationally expensive for large-scale structures. In this study, after locating precisely the eventual damage of a structure using modal strain energy based index (MSEBI), To efficiently reduce the computational cost of model updating during the optimization process of damage severity detection, the M...

This study describes three different data mining techniques for detecting abnormal lighting energy consumption using hourly recorded energy consumption and peak demand (maximum power) data. Two outliers’ detection methods are applied to each class and cluster for detecting abnormal consumption in the same data set. In each class and cluster with anomalous consumption the amount of variation fro...