In order to solve the controllability problem of worm attack range and effect in network counterwork and achieve the precise attack on the target host, we propose a propagation control method based on lifetime and a d...
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For some existing handoff control algorithms in Aerospace Information network, the success rate of their handoff calls is not high. This paper proposes a handoff control algorithm based on service priorities and chann...
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Hash chain mechanism has been widely used into a variety of encryption applications and services. The introduction of renewable Hash chain overcomes resource-constrained defect in traditional Hash chains, but many cur...
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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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Recently, the development of the Metaverse has become a frontier spotlight, which is an important demonstration of the integration innovation of advanced technologies in the Internet. Moreover, artificial intelligence...
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Recently, the development of the Metaverse has become a frontier spotlight, which is an important demonstration of the integration innovation of advanced technologies in the Internet. Moreover, artificial intelligence (AI) and 6G communications will be widely used in our daily lives. However, the effective interactions with the representations of multimodal data among users via 6G communications is the main challenge in the Metaverse. In this work, we introduce an intelligent cross-modal graph semantic communication approach based on generative AI and 3-dimensional (3D) point clouds to improve the diversity of multimodal representations in the Metaverse. Using a graph neural network, multimodal data can be recorded by key semantic features related to the real scenarios. Then, we compress the semantic features using a graph transformer encoder at the transmitter, which can extract the semantic representations through the cross-modal attention mechanisms. Next, we leverage a graph semantic validation mechanism to guarantee the exactness of the overall data at the receiver. Furthermore, we adopt generative AI to regenerate multimodal data in virtual scenarios. Simultaneously, a novel 3D generative reconstruction network is constructed from the 3D point clouds, which can transfer the data from images to 3D models, and we infer the multimodal data into the 3D models to increase realism in virtual scenarios. Finally, the experiment results demonstrate that cross-modal graph semantic communication, assisted by generative AI, has substantial potential for enhancing user interactions in the 6G communications and Metaverse.
Massive content delivery will become one of the most prominent tasks of future B5G/6G ***,various multimedia applications possess huge differences in terms of object oriented(i.e.,machine or user)and corresponding qua...
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Massive content delivery will become one of the most prominent tasks of future B5G/6G ***,various multimedia applications possess huge differences in terms of object oriented(i.e.,machine or user)and corresponding quality evaluation metric,which will significantly impact the design of encoding or decoding within content delivery *** get over this dilemma,we firstly integrate the digital twin into the edge networks to accurately and timely capture Quality-of-Decision(QoD)or Quality-of-Experience(QoE)for the guidance of content ***,in terms of machinecentric communication,a QoD-driven compression mechanism is designed for video analytics via temporally lightweight frame classification and spatially uneven quality assignment,which can achieve a balance among decision-making,delivered content,and encoding ***,in terms of user-centric communication,by fully leveraging haptic physical properties and semantic correlations of heterogeneous streams,we develop a QoE-driven video enhancement scheme to supply high data *** results demonstrate the remarkable performance improvement of massive content delivery.
Real-time video streaming over wireless links imposes strong demands on video codecs and quality of networks. Many measures are made to design proper routing protocols and channel assignments (CAs) for multi-channel m...
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Content sharing via device to device (D2D) communication is considered as a promising method to improve the performance of cellular network. However, in D2D networks, the placement of multimedia content is still an co...
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As a new manufacturing paradigm, cloud manufacturing transforms the traditional manufacturing business model, in which distributed resources belonged to different enterprises are encapsulated into cloud services. Clie...
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AODV protocol is a comparatively mature on-demand routing protocol in mobile ad hoc networks. However, the traditional AODV protocol seems less than satisfactory in terms of delivery reliability. This paper presents a...
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