In the view of the DV-Hop positioning algorithm which relies on the distance vector and beacon nodes, several aspects are improved: the average hop distance and hop count are corrected;a method to detect the abnormal ...
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In the view of the DV-Hop positioning algorithm which relies on the distance vector and beacon nodes, several aspects are improved: the average hop distance and hop count are corrected;a method to detect the abnormal distribution of beacon nodes is used to avoid the influence of the abnormal distribution on the positioning performance. The proposed algorithm is simple and effective. Simulation results show that compared with the traditional DV-Hop algorithm, the performance of the proposed algorithm is greatly *** performance is even even superior to that of the algorithm mentioned in literature [10]
Bundle and block were introduced into DTN transmission protocol, which shred data into bits to deal with frequent interruption in DTN network. Bundle and LTP protocol in DTN transmission layer were put forward, and th...
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Bundle and block were introduced into DTN transmission protocol, which shred data into bits to deal with frequent interruption in DTN network. Bundle and LTP protocol in DTN transmission layer were put forward, and the impact of block size on transmission efficiency was investigated when network environment probably vary dramatically in a short time. Finally we put forward a Bundle sending algorithm that dynamically changes its strategy in DTN network to achieve the best transmission efficiency and system performance. Simulation results show that selecting proper size of data block can increase the transmission effectiveness.
This paper reports the design and analysis of a novel pyramidal horn antenna based on Micro Electro Mechanical Systems(MEMS) technology,which is used in terahertz(THz) *** structure of the antenna includes two parts,p...
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ISBN:
(纸本)9781510823808
This paper reports the design and analysis of a novel pyramidal horn antenna based on Micro Electro Mechanical Systems(MEMS) technology,which is used in terahertz(THz) *** structure of the antenna includes two parts,pyramidal horn structure and rectangle waveguide for feed,the fabrication of the structure needs only one wafer,and the antenna can be easily integrated with other parts of on-chip *** are many tunable parameters of the horn,so that high performance THz antenna can be achieved by optimizing these *** proposed antenna can be manufactured by MEMS processing with low fabrication cost,suitable for many terahertz systems.
Neural networks can easily fall into a local extremum and have slow convergence rate. Quantum Genetic Algorithm (QGA) has features of small population size and fast convergence. Based on the investigation of QGA, we p...
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Neural networks can easily fall into a local extremum and have slow convergence rate. Quantum Genetic Algorithm (QGA) has features of small population size and fast convergence. Based on the investigation of QGA, we propose a novel neural network model, Radial Basis Function (RBF) networks optimized by Quantum Genetic Algorithm (QGA-RBF model). Then we investigate the performance of the proposed QGA-RBF on solving MIMO-OFDM signal detection problem. A novel signal detector based on QGA-RBF for MIMO-OFDM system is also proposed. The simulation results show that the proposed detector has more powerful properties in bit error rate than QGA based detector, RBF based detector and MMSE algorithm based detector, namely a 4-6 dB gain in performance can be achieved. The performance of the proposed detector is closer to optimal, compared with the other detectors.
Quantum communication provides an absolute security advantage, and it has been widely developed over the past 30 years. As an important branch of quantum communication, quantum secure direct communication (QSDC) promo...
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Quantum communication provides an absolute security advantage, and it has been widely developed over the past 30 years. As an important branch of quantum communication, quantum secure direct communication (QSDC) promotes high security and instantaneousness in communication through directly transmitting messages over a quantum channel. The full implementation of a quantum protocol always requires the ability to control the transfer of a message effectively in the time domain; thus, it is essential to combine QSDC with quantum memory to accomplish the communication task. In this Letter, we report the experimental demonstration of QSDC with state-of-the-art atomic quantum memory for the first time in principle. We use the polarization degrees of freedom of photons as the information carrier, and the fidelity of entanglement decoding is verified as approximately 90%. Our work completes a fundamental step toward practical QSDC and demonstrates a potential application for long-distance quantum communication in a quantum network.
Security of the Object Naming Service (ONS) resolving model is discussed in this paper and an anonymous ONS resolving model with trust mechanism is presented. This model has the following characteristics: firstly, the...
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Security of the Object Naming Service (ONS) resolving model is discussed in this paper and an anonymous ONS resolving model with trust mechanism is presented. This model has the following characteristics: firstly, the zero knowledge proof protocol based on elliptic curve is applied;secondly, only certifier and verifier are involved during certification, which can get rid of the bondage of trusted third-party platform;and thirdly, in order to improve efficiency, the concept of trust value is introduced. Once certified, many times of resolving services can be provided. The number of resolving service is determined by trust value. Through theoretical analysis and experimental simulation, the model has the advantages of creativity, anonymity, feasibility, and resistance against replay attack.
There are some problems on the neighbor nodes selection method in wirelesssensornetworks. The Neighbors Selection Algorithm, based on the communication energy consumption between pairs of nodes, is proposed and appl...
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A free-space-to-chip pipeline is proposed for the efficient transportation of single atoms from a magneto-optical trap to an on-chip evanescent-field trap. Due to the reflection of the dipole laser on the chip surface...
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A free-space-to-chip pipeline is proposed for the efficient transportation of single atoms from a magneto-optical trap to an on-chip evanescent-field trap. Due to the reflection of the dipole laser on the chip surface, the conventional conveyor-belt approach can transport only atoms in close proximity to the chip surface, with a distance of about one wavelength. This limitation hinders the efficient interaction between the atom and the on-chip waveguide devices. Here, a two-layer photonic chip architecture is proposed to realize a free-space-to-chip atom pipeline. By employing a diffraction beam of the integrated grating with an incident angle of the Brewster angle, the reflection of the dipole laser is suppressed, allowing the atoms to be brought to the chip surface with a distance of only 100nm. The pipeline is verified numerically and provides a reliable atom source for a hybrid photonic-atom chip.
In data-rich everything connected world, the rapid and green data processing is essential, especially for some delay-sensitive and computation-intensive tasks. Motivated by these requirements, an energy and delay co-a...
In data-rich everything connected world, the rapid and green data processing is essential, especially for some delay-sensitive and computation-intensive tasks. Motivated by these requirements, an energy and delay co-aware fog computation offloading mechanism is conceived in this paper. Specifically, we formulate a weighted sum minimization problem of task completion time and energy consumption at the local fog for achieving efficient task computation. Further, a deep learning-based joint offloading decision and resource allocation (DL-JODRA) algorithm is developed to address such problem by jointly optimizing offloading action, local CPU, bandwidth and external CPU occupation ratios. The optimal offloading decision based comprehensive optimization consideration of network resources further improves the network efficiency. Finally, the extensive simulation results demonstrate that the proposed DL-JODRA can achieve optimal offloading decision with low computation resource requirement and gain significant reduction on network costs (i.e., delay and energy) comparing with benchmark methods.
Information fusion is an effective way to solve the problem of the limited of energy and bandwidth for wirelesssensornetworks, a novel strategy of two-dimensional feature fusion is proposed in this paper. The featur...
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