A Layered and Grid-Based Methodology to Characterize and Simulate IoT Traffic on Advanced Cellular Networks
A Layered and Grid-Based Methodology to Characterize and Simulate IoT Traffic on Advanced Cellular Networks
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用于表征和模拟高级蜂窝网络上物联网流量的分层且基于网格的方法
DOI：
10.1109/iotm.001.2200156
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Sansò, Brunilde
中科院分区：
文献类型：
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作者：
Malandra, Filippo;Mellah, Hakim;Firouzabadi, Abbas Dehghani;Wetté, Constant;Sansò, Brunilde
随着越来越大的智慧城市和物联网部署的出现，满足吞吐量和延迟方面的通信要求变得越来越具有挑战性。网络性能分析必须仔细解决，通常通过模拟软件。由于物联网的大规模性质，传统的仿真方法无法很好地扩展。因此，在本文中，我们提出了两个原始的贡献，提供可扩展性的网络性能模拟。首先，我们介绍了大规模网络的多层分析的概念，其次，我们提供了一种方法来快速关联的传播措施，用户设备。所提出的概念是基于解耦的访问和用户层和引入所谓的网格层创建的预计算的传播措施在所考虑的区域。然后，这些传播数据准备好用于网络性能仿真。为了显示所提出的方法的有效性，几个现实的使用情况进行了分析沿着与比较所需的时间来模拟与我们的基于网格的方法。数值结果表明，采用我们的方法，特别是在大规模网络的计算时间显着减少。通过实验研究了网格粒度、RSS精度误差和计算时间之间的权衡关系，表明该方法可以灵活地适应规划者的要求。
With the advent of increasingly large smart-city and IoT deployments, meeting communication requirements in terms of throughput and delay becomes more and more challenging. Network performance analyses must be carefully addressed, usually through simulation software. Because of the large-scale nature of the IoT, traditional simulation methods do not scale well. Thus, in this article, we present two original contributions that provide scalability to network performance simulations. First, we introduce the concept of multi-layered analysis for large-scale networks and, second, we provide a method to quickly associate propagation measures to user equipment. The proposed concept is based on the de-coupling of the access and the user layer and the introduction of a so-called grid layer created by pre-computing propagation measures in the considered area. These propagation data are then ready to be used in the network performance simulation. To show the efficacy of the proposed approach, several realistic use cases are analyzed along with a comparison of the time needed to simulate with and without our grid-based methodology. Numerical results show that a significant reduction of computational time is achieved by employing our approach, especially in large-scale networks. Experiments were also performed to study the trade-off between grid granularity, RSS precision errors and computational time, showing that the method can be flexibly adapted to the planners' requests.