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首页> 外文期刊>Internet of Things Journal, IEEE >A Joint Optimization Scheme for Hybrid MAC Layer in LEO Satellite Supported IoT
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A Joint Optimization Scheme for Hybrid MAC Layer in LEO Satellite Supported IoT

机译:Leo Satellite中的混合MAC层的联合优化方案支持IOT

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摘要

The Internet of Things (IoT) aims to interconnect and converge the physical world and cyberspace. It represents the future of networking, and leads the wave of the third industrial revolution. As IoT applications evolve, more and more regions lacking infrastructures are also experiencing an urgent need to deploy and connect IoT devices into the network. Low earth orbit satellites, due to its wide coverage and relatively low latency, can provide network access for IoT system. In this article, we propose a low-latency heterogeneous network MAC approach for space-earth integrated IoT network, which can significantly reduce network latency, improve system scalability and balance total system load. Specifically, we design a geographic priority time slot allocation strategy which ensures optimal load and latency, besides, we also design a continuous forward time slot allocation strategy, which guarantees data timeliness while reducing the utilization of satellite resources. Then we design three algorithms based on above strategies, which can effectively reduce network latency and balance the satellite resources. The simulation experimental results are consistent with the theoretical results, which embodies the effectiveness of the algorithm.
机译:事情互联网(物联网)旨在互连和融合物理世界和网络空间。它代表了网络的未来,并引领了第三个工业革命的浪潮。随着IoT应用程序的发展,越来越多的地区缺乏基础设施也遇到了迫切需要部署和连接到网络的信息。由于其广泛覆盖范围和相对较低的延迟,低地球轨道卫星可以为IOT系统提供网络访问。在本文中,我们提出了一个低延迟异构网络MAC方法,用于空间集成物联网网络,可以显着降低网络延迟,提高系统可扩展性和平衡总系统负载。具体而言,我们设计了一种地理优先级时隙分配策略,其确保了最佳的负载和延迟,除了,我们还设计了一种连续的前进时隙分配策略,可确保数据及时性,同时降低卫星资源的利用率。然后我们根据上述策略设计三种算法,可以有效降低网络延迟和平衡卫星资源。模拟实验结果与理论结果一致,其体现了算法的有效性。

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