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By using a cyclotriveratrylene‐based ligand 5,12,19‐trimethoxy‐6,13,20‐tricarboxy‐methoxy‐cyclotriveratrylene (H3L), four lanthanide‐based compounds, Eu(L)(DMF)2 (1), Tb(L)(DMF)2 (2), Gd(L)(DMF)2 (3), and Yb(L)(DMF)(H2O) (4), have been constructed. Compounds 1–3 are isostructural and show charming two‐bowl interlocked chains linked by L3– anions and Ln3+ cations. The chains are further linked by C–H...
Trust management plays a significant role for guaranteeing the reliability and security of wireless sensor networks. A hierarchical trust model for cluster-based wireless sensor network is proposed. According to the differences between cluster heads and general nodes, the distributed and centralized trust management mechanisms are combined in this paper. In the proposed model, the computation of node...
In cognitive radio networks (CRNs), wideband spectrum sensing is an important task for secondary users (SUs) to achieve the dynamic spectrum access. Even though the wideband spectrum detection is feasible by combining the compressive sensing (CS) with wavelet transform, however, accurate detection of the small-scale primary users (SSPUs) such as wireless microphones and mobile devices is still difficult...
In cognitive radio networks, secondary users (SUs) need to sense/detect the vacant spectrum holes in a wide frequency band for achieve the dynamic spectrum access. The combination of compressive sensing (CS) with wavelet edge detection makes the wideband spectrum reconstruction and detection to be feasible. The existence of small-scale primary users (SSPUs) such as wireless microphones and mobile...
For wideband cognitive radio networks, small-scale primary users (SSPUs) such as wireless microphones and mobile devices are generally difficult to be accurately sensed/detected due to the use of weak transmit power and noise uncertainty. Recently, compressive sensing (CS) technologies and edge detection methods (such as wavelet transform) are widely researched and combined to achieve the effective...
A novel robust detection algorithm based on goodness-of-fit test is proposed to achieve spectrum sensing for the small-scale primary users (SSPUs) including wireless microphones and mobile devices. In the proposed algorithm, a new test statistic is proposed to measure the non-Gaussianity of the power spectral density (PSD) of the received signals. Since the estimated PSD of the ambient Gauss noise...
A novel goodness-of-fit testing based spectrum sensing method is proposed to detect the small-scale primary users (SSPUs) such as wireless microphones and mobile devices. In the proposed method, a secondary user (SU) measures the non-Gaussianity of the spectrum of the received signal using a novel test statistic. Then, the absence and presence of SSPUs can be effectively distinguished by evaluate...
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