Pushing artificial intelligence(AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things(AIoT) in the sixth-gen...
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Pushing artificial intelligence(AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things(AIoT) in the sixth-generation(6G) era. This gives rise to an emerging research area known as edge intelligence, which concerns the distillation of human-like intelligence from the vast amount of data scattered at the wireless network edge. Typically, realizing edge intelligence corresponds to the processes of sensing, communication,and computation, which are coupled ingredients for data generation, exchanging, and processing, ***, conventional wireless networks design the three mentioned ingredients separately in a task-agnostic manner, which leads to difficulties in accommodating the stringent demands of ultra-low latency, ultra-high reliability, and high capacity in emerging AI applications like auto-driving and metaverse. This thus prompts a new design paradigm of seamlessly integrated sensing, communication, and computation(ISCC) in a taskoriented manner, which comprehensively accounts for the use of the data in downstream AI tasks. In view of its growing interest, this study provides a timely overview of ISCC for edge intelligence by introducing its basic concept, design challenges, and enabling techniques, surveying the state-of-the-art advancements, and shedding light on the road ahead.
Few-shot class-incremental learning is crucial for developing scalable and adaptive intelligent systems, as it enables models to acquire new classes with minimal annotated data while safeguarding the previously accumu...
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Compared with traditional terrestrial access networks, a mobile edge computing-enabled aerial access network is a potential paradigm for performing complicated computations by offloading tasks to edge servers. To this...
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In this paper, we formulate to optimize the problem related to network failure using the integer linear programming (ILP) method. We aim to minimize the number of spanning trees needed to protect the network in case o...
In this paper, we formulate to optimize the problem related to network failure using the integer linear programming (ILP) method. We aim to minimize the number of spanning trees needed to protect the network in case of link and/or link-node failure. Compared to the traditional approach of constructing spanning trees using heuristic algorithms, our method has successfully reduced the number of trees required for node or link-node failure protection by up to 50%. Reducing the number of spanning trees saves memory requirements for the network route and simplifies network configuration.
Content-centric networking (CCN) is a network architecture based on content. The conventional network architecture uses IP address to route packets based on location. In CCN, which routes packets based on content name...
Content-centric networking (CCN) is a network architecture based on content. The conventional network architecture uses IP address to route packets based on location. In CCN, which routes packets based on content name, a cache function can be attached to nodes. Getting contents from cache nodes alleviates traffic congestion in the network. In the case that the cache function is not attached to all nodes in the network, it is necessary to decide where cache nodes are placed. Congestion tends to occur around cache nodes when using the conventional method. We formulate a problem of cache node placement as an integer linear programming (ILP) considering the population of each node. The ILP formulation determines the cache node placement to minimize the value of the maximum traffic. This result shows the proposed ILP approach reduces the maximum traffic by 59% on average.
Water scarcity poses a significant challenge to sustainable cultivation, driven by geographical and environmental factors. Traditional irrigation systems fall short in effectively addressing water shortage. Precision ...
Water scarcity poses a significant challenge to sustainable cultivation, driven by geographical and environmental factors. Traditional irrigation systems fall short in effectively addressing water shortage. Precision agriculture offers a promising solution by optimizing production and minimizing water usage. This study introduces a smart irrigation system that incorporates essential parameters such as soil moisture, humidity, temperature, and wind speed. Additionally, a decision-making method based on collected sensor data is implemented in a microcontroller. Four classification algorithms are assessed using RStudio to determine the most accurate algorithm for the specific scenario. Experimental testing over a ten-day period reveals an irrigation water consumption of approximately 1 liter, with a relatively low detection speed of around 1 second, which can be attributed to using a small pot for testing purposes.
This paper proposes a more effective placement way of slicers to increase bandwidth efficiency in elastic optical network (EON). EON enhances the potential of the network by dividing available bandwidth into a small r...
This paper proposes a more effective placement way of slicers to increase bandwidth efficiency in elastic optical network (EON). EON enhances the potential of the network by dividing available bandwidth into a small region called "slot" and assigns bandwidth to communication requests dynamically. Spectrum slicing also improves the availability of bandwidth. However, these technologies cause bandwidth waste due to the lost opportunities of spectrum slicing with the incomplete placement of slicers. We provide more optimal placement of spectrum slicers to advance bandwidth efficiency. Betweenness centrality (BC) shows the importance of nodes in sight of network routing. It allows us to predict which node will be crowded and plan better slicer installation assignments in advance. We simulate how effective the proposed method is to reduce communication conflicts with the index allocation blocking ratio. As a result of simulations, the proposed method reduces communication conflicts by up to 91.01% compared to a previous BC method.
1 Introduction Advertisements detection and replacement with different ads based on the user preferences is employed during sports rebroadcasts that offers more value to both the distributor and *** advertisements det...
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1 Introduction Advertisements detection and replacement with different ads based on the user preferences is employed during sports rebroadcasts that offers more value to both the distributor and *** advertisements detection is a laborious activity and demands an urgent need to develop automated advertisement detection techniques to save the time,storage space,and transmission bandwidth.
In this paper, we present a new construction of maximal distance separable (MDS) array codes with three parity columns. We present an efficient encoding algorithm for our new codes and show that our new codes have low...
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