Real-world environment models for mobile network evaluation

TLDR

Simulation environments are essential for evaluating new networking concepts, especially for mobile ad hoc networks where protocols must be tested in realistic mobility and signal propagation settings before real‑world deployment. This paper proposes a mobility and signal propagation model that can be incorporated into simulations to generate realistic network scenarios. The model places obstacles that constrain movement and signal propagation, constructs movement paths as Voronoi tessellations using obstacle corners as sites, and emulates fading effects in the presence of obstacles. Simulations demonstrate that the model significantly alters network performance compared to other mobility models and shows that protocol performance varies with different mobility scenarios.

Abstract

Simulation environments are an important tool for the evaluation of new concepts in networking. The study of mobile ad hoc networks depends on understanding protocols from simulations, before these protocols are implemented in a real-world setting. To produce a real-world environment within which an ad hoc network can be formed among a set of nodes, there is a need for the development of realistic, generic and comprehensive mobility, and signal propagation models. In this paper, we propose the design of a mobility and signal propagation model that can be used in simulations to produce realistic network scenarios. Our model allows the placement of obstacles that restrict movement and signal propagation. Movement paths are constructed as Voronoi tessellations with the corner points of these obstacles as Voronoi sites. Our mobility model also introduces a signal propagation model that emulates properties of fading in the presence of obstacles. As a result, we have developed a complete environment in which network protocols can be studied on the basis of numerous performance metrics. Through simulation, we show that the proposed mobility model has a significant impact on network performance, especially when compared with other mobility models. In addition, we also observe that the performance of ad hoc network protocols is effected when different mobility scenarios are utilized.