There is a growing interest in deployment and evaluation of routing protocols for Vehicular Ad-Hoc Wireless Networks (VANETs) in urban contexts. The mobility model of nodes is one of the most important factors that impacts the evaluation of any wireless ad-hoc routing protocol using simulations. In this paper we make the case that the state-of-the-art simulation techniques do not effectively mo...

Network simulation tools are commonly used to analyze the performance of Mobile Ad-hoc Networks (MANETS) protocols and their applications. The radio propagation models used for these simulations strongly influence the produced results. While the Two Ray Ground (TRG) model is the most widely used path loss model in reported MANETS performance analysis studies, it is not a realistic model for use...

A Mobile ad hoc network (MANET) is a collection of wireless mobile nodes forming a temporary network without using any existing infrastructure. Mobile Ad-Hoc is a dynamic, multi-hop and autonomous networks composed by wireless mobile nodes. MANETS are subject to rapid and unpredictable changes. MANETS are inexpensive wireless communication network. The mobility model represents the realistic be...

Ad Hoc Networks is a multi hop wireless network with dynamically changing network connectivity owing to mobility. It consists of a collection of wireless mobile nodes it will act without the use of any existing infrastructure or centralized administration. With this flexibility, networks can be formed anywhere, at any time, as long as two or more wireless users are willing to communicate. In su...

Realistic mobility modeling is necessary for testing disaster management strategies as well as performance of disaster-resilient networks. Evacuation of the people from a disaster area depends on the environment and type of the hazard which cause certain changes in the pedestrian flows. Although most models focus on the building evacuations or city-scale evacuation planning, there is a need for...

Realistic random mobility models for airborne networks (ANs) are highly desirable to evaluate and design airborne networking. In this paper, we develop a comprehensive modeling framework for ANs, including two 3-D random mobility models and the associated boundary models. These simple random mobility models obey physical laws governing aerial maneuvers, and thus capture the smoothness of aerial...

Realistic geometry of human upper airways from mouth to the end of trachea was reconstructed by implementing the CT-Scan images of a male subject.   A computational model for analyzing the airflow in the airways was developed and several simulations were performed.  To capture the anisotropy of the inhaled airflow in the upper airways, the Reynolds stress transport model of turbulence was used ...

The performance of networked systems that support common human activities, such as mobile communication and participation in online games, depends on the characteristics of human mobility. Human mobility models are crucial in the design and tuning of these systems, but depend on detailed and long-term human mobility traces, which, in turn, are difficult to obtain from real environments. Thus, a...

Spatio-temporal preferences and encounter statistics provide realistic measures to understand mobile user’s behavioral preferences and transfer opportunities in Delay Tolerant Networks (DTNs). The time dependent behavior and periodic reappearances at specific locations can approximate future online presence while encounter statistics can aid to forward the routing decisions. It is theoretically...

In the performance evaluation of a protocol for an ad hoc network, the protocol should be tested under realistic conditions including, but not limited to, a sensible transmission range, limited buffer space for the storage of messages, representative data traffic models, and realistic movements of the mobile users (i.e., a mobility model). This paper is a survey of mobility models that are used...