Wireless communication network has such features as limited bandwidth, changeful channel and dynamic topology, etc. Ad hoc network has lots of difficulties in accessing control, bandwidth distribution, resource assign...
Wireless communication network has such features as limited bandwidth, changeful channel and dynamic topology, etc. Ad hoc network has lots of difficulties in accessing control, bandwidth distribution, resource assign and congestion control. Therefore, a wireless packets distributing Evolutionary algorithm based on PSO (DPSO)for Ad Hoc Network is proposed. Firstly, parameters impact on performance of network are analyzed and researched to obtain network performance effective function. Secondly, the improved PSO Evolutionary Algorithm is used to solve the optimization problem from local to global in the process of network packets distributing. The simulation results show that the algorithm can ensure fairness and timeliness of network transmission, as well as improve ad hoc network resource integrated utilization efficiency.
This paper investigates a fog computing-assisted multi-user simultaneous wireless information and power transfer (SWIPT) network, where multiple sensors with power splitting (PS) receiver architectures receive informa...
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Previous approaches for scene text detection usually rely on manually defined sliding windows. This work presents an intuitive two-stage region-based method to detect multi-oriented text without any prior knowledge re...
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This paper is concerned with the analysis of the time domain acoustic scattering from locally perturbed flat substrates. For this three dimensional scattering problem with unbounded scatterer, boundary integral equati...
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Understanding the way individuals are interconnected in social networks is of prime significance to predict their collective outcomes. Leveraging a large-scale dataset from a knowledge-sharing website, this paper pres...
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In modern cryptography, block encryption is a fundamental cryptographic primitive. However, it is impossible for block encryption to achieve the same security as one-time pad. Quantum mechanics has changed the modern ...
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In this paper, a new image encryption algorithm is proposed by integrating Sine and piecewise linear chaotic maps. In order to realize the effect of encrypted image, the security key and 2D Sine-piecewise linear chaot...
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In this paper, a new image encryption algorithm is proposed by integrating Sine and piecewise linear chaotic maps. In order to realize the effect of encrypted image, the security key and 2D Sine-piecewise linear chaotic map (SPLCM) are used to encrypt the image by using random sequence and random matrix, and then using the replacement operation and the diffusion operation of the original image. The proposed image encryption algorithm is simple and practical, and the simulation results show that this algorithm is able to encrypt different types of digital images into unidentifiable random images. The security analysis also shows that this algorithm has a higher security level.
By researching on the differential evolution(DE)algorithm and passive localization model of two-station time difference of arrival(TDOA)and frequency difference of arrival(FDOA),a new calculating method based on DE al...
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By researching on the differential evolution(DE)algorithm and passive localization model of two-station time difference of arrival(TDOA)and frequency difference of arrival(FDOA),a new calculating method based on DE algorithm is proposed for real-time *** precision position estimating employing time cumulate TDOA and FDOA values is also solved by this *** cases using both Instantaneous and multiple measurements are simulated,which show the more excellent performance on realtime effect and location precision comparing with unscented Kalman filter(UKF)*** location precision almost achieves the Cramer-Rao low bound(CRLB).Due to the simple principle and easy realization,this method is suitable for project application.
The large random errors in a typical MEMS gyros under the ranges of relative humidity *** order to solve the large random error under the ranges of relative humidity,a method based on adaptive threshold denoising and ...
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The large random errors in a typical MEMS gyros under the ranges of relative humidity *** order to solve the large random error under the ranges of relative humidity,a method based on adaptive threshold denoising and neural net work is proposed in this *** relative humidity experiment is carried to test LSM6DS3 MEMS *** the adaptive threshold denoising is used to separate the drift error and drift data modeled with RBF neural *** experimental res ults show the effectiveness of the method,and it is of great significance in improving the performance of MEMS gyros.
作者:
Ran LiZhaoWen LinJie XuYi SunNetwork and Information Center
Institute of Network Technology Beijing University of Posts and Telecommunications Beijing 100876 China 2 Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory Shijiazhuang 050081 China 3 National Engineering Laboratory for Mobile Network Security Beijing 100876 China
In addressing the routing issue in the SDN environment, an improved ant colony algorithm is proposed in this paper, in which the ants tend to balance the path with less pheromone. Besides, the Top-K optimal path algor...
In addressing the routing issue in the SDN environment, an improved ant colony algorithm is proposed in this paper, in which the ants tend to balance the path with less pheromone. Besides, the Top-K optimal path algorithm is used to optimize the evaluation set, speed up the evaluation, collect the status of the link in the network, and dynamically adjust the evaporation speed of the pheromone to ensure the real-time accuracy of the routing strategy. The QoS requirements of the service are also guaranteed according to the collected link QoS requirements. In such a scheme, combining the advantages of probabilistic routing and deterministic routing, path optimization is better achieved. The simulation of the traffic shows that the model can significantly improve the throughput of traffic in the SDN network, reduce the packet loss rate, and effectively guarantee load balancing.
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