In this paper, we revisit the problem of target detection in wirelesssensornetworks (WSNs). Because that the practical environment of WSNs is very complex, and usually the target signal is mixed with a lot of random...
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This paper surveys the state-of-the-art researches of wireless cooperative relaying networks with network coding, investigates representative resource allocation strategies, and analyzes their features, performance an...
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We present an efficient entanglement purification protocol (EPP) with controlled-not (CNOT) gates and linear optics. With the CNOT gates, our EPP can reach a higher fidelity than the conventional one. Moreover, it...
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We present an efficient entanglement purification protocol (EPP) with controlled-not (CNOT) gates and linear optics. With the CNOT gates, our EPP can reach a higher fidelity than the conventional one. Moreover, it does not require the fidelity of the initial mixed state to satisfy 1 2. If the initial state is not entangled, it still can be purified. With the linear optics, this protocol can get pure maximally entangled pairs with some probabilities. Meanwhile, it can be used to purify the entanglement between the atomic ensembles in distant locations. This protocol may be useful in long-distance quantum communication.
wireless multimedia sensornetworks consist of unattended multimedia nodes with limited storage, energy and computation and communication capabilities. And energy is the most crucial resource for nodes. Clustering tec...
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Opportunistic networks are sparse wirelessnetworks which have no complete path from the source to the destination most of the time. Many applications require the support of delay constrained routing mechanism which c...
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A new scheme of object tracking with mean shift is put forward in this paper. At first, texture feature is fused in the processing by Local Ternary Pattern (LTP). Since LTP is sensitive to local noise, least median of...
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ISBN:
(纸本)9781467321969
A new scheme of object tracking with mean shift is put forward in this paper. At first, texture feature is fused in the processing by Local Ternary Pattern (LTP). Since LTP is sensitive to local noise, least median of squares (LMedS) algorithm is used to adaptively calculate the noise threshold for accurate estimation of the LTP texture information. Furthermore, target scale and orientation is estimated in case of partial occlusion or rotation, so as to realize robust object tracking. Experimental results show that the proposed algorithm can acquire robust tracking performance under complex background .
The analysis the outage performance of suggested Cognitive wireless Relay network (CWRN) which consists of a source, a destination and M cognitive relay nodes and M primary user nodes. In this study, we mainly study t...
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In order to ensure the visual quality and the objective quality of video under low bandwidth, this paper presents a FGS enhancement layer coding algorithm for interested region. First, this paper introduces the tradit...
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In order to ensure the visual quality and the objective quality of video under low bandwidth, this paper presents a FGS enhancement layer coding algorithm for interested region. First, this paper introduces the traditional FGS enhancement layer coding and analyzes the exist problems. Then, proposes the main steps and description of the FGS enhancement layer coding algorithm for interested region. Finally, this paper shows the effectiveness of the algorithm through experimental results.
Geolocation and tracking of mobile objects is an important issue in wirelesscommunicationnetworks. Various methods have been devised and implemented to deal with such problems whose performance is particularly limit...
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ISBN:
(纸本)9781467304375;9781467304368
Geolocation and tracking of mobile objects is an important issue in wirelesscommunicationnetworks. Various methods have been devised and implemented to deal with such problems whose performance is particularly limited in non-line-of-sight propagation conditions. In this paper, we take advantage of the extended Kalman filter with some extensions, modifications and improvement of previous work to reduce the NLOS error in the location measurement. One of the key contributions of this paper is to present the methods that discriminate the NLOS measurements from the LOS measurements based on the standard deviation and K-means clustering and reconstruct the LOS measurements out of the NLOS measurements by polynomial fit in order to mitigate the NLOS error. Simulation results confirm the effectiveness and accuracy of our approach in comparison with the conventional EKF algorithm. Moreover, we do not model the distribution of the NLOS error due to its intractability.
Overlay networks are used widely in the Internet, such as retrieval and share of files, multimedia games and so on. However, in distributed system, the retrieval and share of 2-dimension spatial data still have some d...
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