Device-to-Device (D2D) communication has been proposed to be a promising data offloading solution in the coming big data age, with multimedia dominating the digital contents. As quality of experience (QoE) is the majo...
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Device-to-Device (D2D) communication has been proposed to be a promising data offloading solution in the coming big data age, with multimedia dominating the digital contents. As quality of experience (QoE) is the major determining factor in the success of new multimedia applications, we novelly propose a QoE-driven cooperative content dissemination (QeCS) scheme in the paper. Specifically, all the users predict the QoE of the potential connections characterized by mean opinion score (MOS) and send the results to the content provider (CP). Then CP formulates a weighted oriented graph based on the network topology and MOS of each potential connection. By factorizing the graph, the content dissemination fashion is established through seeking 1-factor with the maximum weight thus achieving maximum total user MOS.
Spectrum sensing in a wideband regime for cognitive radio network (CRN) faces considerably technical challenge due to the constraints on ADCs, especially in the presence of primary user emulation attack (PUEA) where s...
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ISBN:
(纸本)9781849198455
Spectrum sensing in a wideband regime for cognitive radio network (CRN) faces considerably technical challenge due to the constraints on ADCs, especially in the presence of primary user emulation attack (PUEA) where some malicious users try to impersonate the primary user (PU) to prevent other secondary users (SUs) from accessing the idle spectrum. To address this issue, an eigenvalue-based compressive wideband spectrum sensing (ECWSS) scheme is proposed in this paper. ECWSS directly utilizes the compressive measurements based on compressive sampling (CS) theory to perform wideband spectrum sensing without requiring signal recovery. In ECWSS, the sensors around a SU carry out compressive sampling at the sub- Nyquist rate instead of the SU. Furthermore, the exact probability density function of extreme eigenvalues is used to set the threshold. Theoretical analysis and simulation results show that compared to the traditional sensing scheme, ECWSS has better detection performance and is more robust in the existence of PUEA.
The Delay/Disruption Tolerant network (DTN) is characterized with long delay, high bit-error rate, intermittent connectivity and frequent partitions. Due to this, network coding is introduced to improve its transmissi...
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The Delay/Disruption Tolerant network (DTN) is characterized with long delay, high bit-error rate, intermittent connectivity and frequent partitions. Due to this, network coding is introduced to improve its transmission performance significantly. Numerous DTN routing algorithms based on network coding have been developed. However, they are susceptible to various malicious attacks. In this paper, we propose a new kind of networking scheme suitable to the DTN, which can resist the eavesdropping attacks to a certain extant. Firstly, we establish a DTN network model based on the packet path optimization allocation algorithm and redefine the packet format to meet the algorithm requirements. Meanwhile, to resist the dropping attacks, the source node dynamically adds redundancy factors at the certain time. Then the pollution attacks and the data tampering attacks can almost be resisted by means of mutual authentication between intermediate nodes. This approach avoids the traditional anti-tampering attack algorithm over-reliant on the source node. The security analysis and simulation results show that our scheme can effectively resist the joint attacks and optimize the network performance.
An improved outdoor camera calibration method based on Extended Kalman Filter(EKF) is proposed in this paper. GPS coordinate system is introduced to establish world coordinate system in the calibration procedure. Acco...
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ISBN:
(纸本)9781629939865
An improved outdoor camera calibration method based on Extended Kalman Filter(EKF) is proposed in this paper. GPS coordinate system is introduced to establish world coordinate system in the calibration procedure. According to the characteristics of GPS coordinate converted to plane coordinate and the camera calibration model, we establish the mapping relations of reference points between image plane coordinate and the world coordinate. Further, we consider the world coordinate error, set the world coordinates as the measure quantities, use the method of EKF to get the optimal estimation of intrinsic and extrinsic camera parameters, in EKF the camera's intrinsic and extrinsic parameters are set as state variables, the transformation equations of image coordinate to the world coordinate are set as the measurement equations, and we let the observed feature points' image coordinates and corresponding world coordinates as the input of the filter. Experimental results confirmed that the proposed method with high precision.
The Lorentzian hard thresholding pursuit algorithm is proposed in this paper to achieve efficient reconstruction for compressed sensing in the presence of impulsive noise. In the Lorentzian hard thresholding pursuit a...
The Lorentzian hard thresholding pursuit algorithm is proposed in this paper to achieve efficient reconstruction for compressed sensing in the presence of impulsive noise. In the Lorentzian hard thresholding pursuit algorithm, the minimum norm problem is solved with respect to a support which is obtained through the hard thresholding operator. The convergence and reconstruction performance of the Lorentzian hard thresholding pursuit algorithm is proved in theory in this paper. Experimental results show that the reconstruction performance of the Lorentizian hard thresholding pursuit algorithm is superior to the Lorentzian iterative hard thresholding algorithm which is also an effective algorithm for sparse reconstruction of compressed sensing in the impulsive noise environment.
In DTN (Delay Tolerant networks), bundle and block shred data to cope with frequent interruption. However, it remains a problem of what impact will be generated on transmission efficiency by the size of bundle and blo...
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In this paper, a new fast encoding scheme using CU depth information for quality scalable HEVC was proposed. The proposed scheme based on the correlation between the base layer and enhancement layer, as well as the co...
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In this paper, a new fast encoding scheme using CU depth information for quality scalable HEVC was proposed. The proposed scheme based on the correlation between the base layer and enhancement layer, as well as the correlation between current frame and reference frame, which obtained by experiment. The main idea of the algorithm is that when each LCU is encoded in enhancement layer, it's corresponding encoded LCU's best coding depth in base layer is used as the new maximum encoding depth in enhancement layer, thereby, it can reduce the unnecessary CU division process then reduce the computational complexity. On the other hand, for base layer, when each LCU encoding in current frame, the corresponding LCU's depth in already coded reference frame is utilized to skip parts process of mode selection before reach this reference depth, so that the computational complexity can be reduced again. Experimental results show that compared with the original SHM5.1, our proposed method saves about 59.45% and 67.71% encoding time in whole encoding layers and enhancement layer respectively, with a negligible decrease in PSNR of 0.014 dB and bitrate increase of 0.46% in EL, as well as PSNR of 0.05 dB and bitrate increase of 1.15% in BL averagely.
To alleviate the encoder computation load in inter-frame coding of the High Efficiency Video Coding (HEVC), a new fast inter-frame prediction mode decision method is proposed by reducing the number of execution of the...
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To alleviate the encoder computation load in inter-frame coding of the High Efficiency Video Coding (HEVC), a new fast inter-frame prediction mode decision method is proposed by reducing the number of execution of the advanced motion vector prediction (AMVP) mode. Based on the correlation analysis between the corresponding located CU (Coding Unit) in the previous frame and the current CU, we first select the best one inter prediction mode by just performing merge mode decision process and then only perform the AMVP process on the selected one. Experimental results show that the proposed scheme provides 33.04% encoder time savings in Random Access (RA) configuration and 38.05% time savings in Low Delay (LD) configuration on average, and its increment in bit rate is 0.87% in RA and 1.29% in LD compared to the default encoding scheme in HM10.0.
When existing spectrum sensing algorithm detects low SNR signal,detection performance is not *** paper proposes a spectrum sensing algorithm based on the best stochastic *** algorithm introduces the stochastic resonan...
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When existing spectrum sensing algorithm detects low SNR signal,detection performance is not *** paper proposes a spectrum sensing algorithm based on the best stochastic *** algorithm introduces the stochastic resonance theory and changes system parameters adaptively through sensing environment *** analysis and simulation results show the algorithm has a good detection performance while sensing low SNR signal.
There exist a number of heterogeneous net units in network in cloud *** problem faced by current network management is how to collect and store data generated by net *** solve this problem,this paper proposes an acqui...
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There exist a number of heterogeneous net units in network in cloud *** problem faced by current network management is how to collect and store data generated by net *** solve this problem,this paper proposes an acquisition and storage solution of huge network management data based on *** the characteristics of heterogeneous network management data and advantages of HBase storage into consideration,an integrated and event-driven solution is made to realize huge network management data acquisition and *** has been proven by practice that by distributed computing of Hadoop and distributed columnar storage of HBase,the solution has secured efficient parallelization of acquisition and storage of the *** performance can be linearly increased when the number of acquisition servers is *** theory,over 13 acquisition servers can run a poll to tens of thousands of net unit device in heterogeneous network within 3 minutes.
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