In order to conduct meaningful performance analysis of routing algorithms for Mobile Ad Hoc Networks (MANETs), it is essential that the mobility model on which the simulation is based reflects realistic mobility behavior. However, current mobility models for MANET simulation are either unrealistic or are tailor-made for particular scenarios. We introduce GEMM, a tool for generating mobility mod...

We propose an integrated scheme for estimating the mobility state and model parameters of a user based on a first-order autoregressive model of mobility that accurately captures the characteristics of realistic user movements in wireless networks. Estimation of the mobility parameters is performed by applying the Yule-Walker equations to the training data. Estimation of the mobility state, whic...

In order to conduct meaningful performance analysis of routing algorithms in the context of Mobile Ad Hoc Networks (MANET), it is essential that the underlying mobility model on which the simulation is based reflects realistic mobility behavior. However, current mobility models for MANET simulation are either unrealistic or are tailor-made for particular scenarios. Furthermore, none of the exis...

Increasing demand for mobility in wireless data network has given rise to various mobility management schemes. Most of the analysis on mobility protocols used Random Waypoint mobility model However, the analysis done earlier ignored some major costs, resulting in an incomplete estimation and used random waypoint model which fails to represent realistic movement pattern. In this paper, we have d...

Vehicular ad-hoc networks are a prospective technology which contribute to safer and more efficient roads. Inter-vehicle communication provides drivers and concerned authorities with information about road conditions, supports the coordination in case of emergency and improves traffic management. Furthermore, vehicular ad-hoc networks offer information and entertainment services to mobile users...

It is a truism that today’s simulations of mobile wireless networks are not realistic. In realistic simulations of urban networks, the mobility of vehicles and pedestrians is greatly influenced by the environment (e.g., the location of buildings) as well as by interaction with other nodes. For example, on a congested street or sidewalk, nodes cannot travel at their desired speed. Furthermore, t...