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Towards the Impact of Mobility Patterns on Network Resources in Smart Cities

机译：探究出行方式对智慧城市网络资源的影响

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摘要

Nowadays, the field of Internet of Things (IoT) has become a new trend and one of the most attractive areas of research. It has a wide range of applications; starting from smart devices to developing and designing smart cities. The main issue in this kind of applications is the limitation in network resources (e.g., energy, memory, connectivity, etc.). Most of the works in the literature deal with this issue in a traditional way. Such that, developing routing protocols that find the optimal path for data forwarding. This paper investigates this issue from a different angle. We aim at testing different mobility patterns (models) and then investigate their impact of the consumption of network resources under particular distributions and data routing protocols. The aspect we aim to investigate is the amount of data exchanged, which in turn affects the power and memory consumption of a network. We also measure the aspect of coverage area. The results show that mobility models play a significant role in the overall network performance. Moreover, we found that when varying mobility models, nodes distribution, and routing protocols in an experiment, different results can be obtained.
机译：如今，物联网（IoT）领域已成为一种新趋势，并且是最有吸引力的研究领域之一。它具有广泛的应用。从智能设备到发展和设计智能城市。这类应用程序的主要问题是网络资源（例如，能源，内存，连接性等）的限制。文献中的大多数作品都以传统方式处理了这个问题。这样，开发路由协议可以找到用于数据转发的最佳路径。本文从另一个角度研究了这个问题。我们旨在测试不同的移动性模式（模型），然后研究它们在特定分发和数据路由协议下对网络资源消耗的影响。我们旨在研究的方面是交换的数据量，这反过来又会影响网络的功耗和内存消耗。我们还测量覆盖范围的方面。结果表明，移动性模型在整个网络性能中起着重要作用。此外，我们发现在实验中改变移动性模型，节点分布和路由协议时，可以获得不同的结果。

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