A new object tracking scheme for multi-camera surveillance with non-overlapping views is proposed in this paper. Brightness transfer function (BTF) is used to establish relative appearance correspondence between diffe...
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wirelesssensornetworks (WSN) are mainly characterized by a potentially large number of distributed sensor nodes which collectively transmit information about sensed events to the sink. In this paper, we present a ce...
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wirelesssensornetworks (WSN) are mainly characterized by a potentially large number of distributed sensor nodes which collectively transmit information about sensed events to the sink. In this paper, we present a centralized generating algorithm running at the sink to obtain the distributed wavelet basis in WSN. And on this basis, Wavelet Transform-based Distributed Compressed Sensing (WTDCS) algorithm is proposed to compress and reconstruct sensor observations with spatial correlations. Finally, the analysis of relationship between reconstruction error and energy consumption in WTDCS is carried out by simulation. The results show that WTDCS can achieve high performance in terms of energy and reconstruction accuracy, as compared to conventional distributed wavelet transform algorithm.
-This paper studies the selective forwarding attacks in wirelesssensornetworks (WSNs) and proposes a method to detect selective forwarding attacks based on digital watermarking technology. This method embeds waterma...
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-This paper studies the selective forwarding attacks in wirelesssensornetworks (WSNs) and proposes a method to detect selective forwarding attacks based on digital watermarking technology. This method embeds watermark into the source data packets, which will be extracted at the base station (BS). The BS will judge whether there are malicious nodes in the transmission path by analyzing the packet loss rate from received data. Simulation results show that this method can effectively detect whether malicious nodes have discarded or tampered the contents of the packets.
A image compression and adaptive smoothing transmission mechanism for wireless multimedia sensornetworks. Goal of our work is to minimize image distortion with the multimedia sensornetwork conditions varying constan...
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wireless Multimedia sensornetwork (WMSN) need to transfer large amounts of video streaming data, how to achieve efficient and reliable transmission becomes a research hotspot. Layered scalable coding techniques can r...
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wireless Multimedia sensornetwork (WMSN) need to transfer large amounts of video streaming data, how to achieve efficient and reliable transmission becomes a research hotspot. Layered scalable coding techniques can reduce the amount of data to improve channel efficiency. The multi-path transmission technology can balance the network load to fully utilize network resources. This paper presents a multi-path transmission algorithm for Layered scalable coding. First, the source node divides the video source sequence into base layer and enhancement layers through scalable video coding. Second, the energy delay gradient and delay gradient are set up for each sensor node. Last, multiple paths with different service quality are set up according to node gradient, so that it can adapt to the transmission needs of different stream layers. Simulation results show that the algorithm has good bandwidth adaptation and can better meet the business requirements of different users.
In order to realize the condition monitoring and judgment of intelligent fire cyber physical water system, a feature extraction model of intelligent fire cyber physical water system based on LSTM is designed in this p...
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In order to realize smart fire electric power alarm monitoring, this paper designs a smart fire electric power monitoring system based on the cyber-physical model. In the physical space, the system receives the inform...
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Interdependency among system parameters may significantly affect the cross-layer design and optimization performance of wirelessnetworks. However, it is very difficult to derive the interdependency among system param...
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Interdependency among system parameters may significantly affect the cross-layer design and optimization performance of wirelessnetworks. However, it is very difficult to derive the interdependency among system parameters in a dynamic complex networking system due to the uncertainty of data observation and system modeling. In this research, we propose a new approach for dynamic interdependency measure among system parameters by using non-additive measure theory. In particular, the Choquet integral model is applied to distinguish the interaction among system parameters towards the objective function through a set of non-additive measures. Then the most significant effect subset of system parameters on the performance metrics of interest for system objective function is identified. The simulations show that it is only need to adjust the parameters in the optimized subset according to the interdependency measure can improved the network throughput, consequently, the radio resource is utilized more reasonably.
In order to monitor the pressure safety status of municipal water supply network, the dynamic calculation model of pressure safety monitoring of municipal water supply network with the function of eliminating interfer...
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In the future development direction of the sixth generation(6G)mobile communication,several communication models are proposed to face the growing challenges of the *** rapid development of artificial intelligence(AI)f...
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In the future development direction of the sixth generation(6G)mobile communication,several communication models are proposed to face the growing challenges of the *** rapid development of artificial intelligence(AI)foundation models provides significant support for efficient and intelligent communication *** this paper,we propose an innovative semantic communication paradigm called task-oriented semantic communication system with foundation ***,we segment the image by using task prompts based on the segment anything model(SAM)and contrastive language-image pretraining(CLIP).Meanwhile,we adopt Bezier curve to enhance the mask to improve the segmentation ***,we have differentiated semantic compression and transmission approaches for segmented ***,we fuse different semantic information based on the conditional diffusion model to generate high-quality images that satisfy the users'specific task ***,the experimental results show that the proposed system compresses the semantic information effectively and improves the robustness of semantic communication.
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