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In cognitive radio network (CRN), secondary users (SUs) suffer from the spectrum sensing data falsification (SSDF) attack launched by malicious users (MUs). To deal with SSDF attack, one of the typical artificial neural networks (ANN): self-organizing map (SOM) neural network is recommended. SOM network possesses the ability of classifying the SUs into categories with different frequency of occurrence...
AT-cut Quartz crystal Microbalance (QCM) has been used as a high precision sensor for decades, which could detect the trace mass deposited on the crystal surface. The accuracy of QCM can be achieved ng level. When used as biosensor in liquid, the resonant frequency is not only affected by the mass change, but also by the liquid density and viscosity, which are greatly dependent on the liquid temperature...
Spectrum prediction, as one enabling technique for dynamic spectrum access (DSA), has recently been received ever-increasing research attention. Most related studies (explicitly or implicitly) assume that spectrum prediction is useful for DSA. However, it does't fundamentally clear when spectrum prediction is really beneficial. To address this issue, this paper firstly provides a high-level review...
Spectrum data, which is usually characterized by many dimensions, such as location, frequency, time and signal strength, presents formidable challenges in terms of acquisition, processing and visualization. In practice, a portion of spectrum data entries may be unavailable due to the interference during the acquisition process or the compression during the sensing process. However, the completion...
Testing and modeling of batteries are essential to evaluate the performance and effectiveness of battery energy storage systems (BESS) in power system applications. The procedure of extraction and experimental verification of any battery model require a reliable and efficient testing system. In this paper, a programmable grid-interfaced battery test system for battery modeling in a frequency-controlled...
Depth generation is a key technology in computer vision. Known methods mainly rely on stereo matching, or measuring devices like ToF camera. The ToF camera performs well in low-textured regions and repetitive regions where stereo matching fails. In contrast, stereo matching works better than ToF camera in textured regions. Based on their complementary characteristics, we introduce a method to combine...
In this paper, we propose a novel multi-tier clustering strategy using cultural-based multiobjective particle swarm optimization (Cultural-MOPSO) for maximizing the longevity of wireless sensor networks. We take into account the distribution of surviving nodes and define three objective functions based on multi-tier cluster hierarchy to fully evaluate every clusterhead election. Simulation results...
An optimal spectrum sensing algorithm is proposed based on the Neyman-Pearson theorem in this paper. The probability of detection is mathematically formulated through analytical discussions. The computational complexity of proposed algorithm is lower than that of the conventional algorithm based on multitaper method with singular value decomposition (MTM-SVD) because SVD is omitted in the proposed...
The existing collision detection techniques have not addressed the problem of detecting collisions of very fast moving objects involving situations where the instance of collisions may not even be visible to the eyes, occurring between two frames. For this purpose a simple and novel approach have been devised. This is based on the assumption that if two objects pass through the same region in a sufficiently...
Spectrum sensing is one of the most important technologies for cognitive radio. In order to decrease the effect of low SNR, and increase the reliability spectrum sensing performance, we propose a novel spectrum sensing approach, which collects the distributed collaborative beamforming signals as the test statistic to input the energy detector. In particular, the collaborative beamforming method can...
The availability of the spectrum opportunity to the secondary users is related to the activity of the frequency channels. In this paper, we research the activity of the channels in opportunistic spectrum sharing. A three-state continuous-time Markov chain is proposed to describe the activity of the channel. A formulation under the service traffics for the model is given and the probabilities of the...
For the performance of networked control system is limited to the network resources and compute resources, the scheduling strategy is the key factor. This paper proposed two level schedule strategy: First, the controller and sensor nodes can be configured as event-time hybrid driven mode to improve the utilization rate. Then, considering the error and error difference response, a BP neural network...
Without a methodology or procedure to assist in determining an effective deployment strategy of sensing platforms such as unmanned submarine or sonar matrix loaded with all sorts of sensors, naval units will not achieve the highest level of situational awareness and understanding. This paper addresses the problem of designing objective functions for autonomous surveillance based on multi-objective...
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