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

Abstract

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.