Design and Analysis of a 3-D Gauss-Markov Model for Highly Dynamic Airborne Networks

Abstract

Accurate mobility models are needed to simulate the physical movement of nodes in a highly-dynamic aeronautical network. The fundamental problem with many synthetic mobility models is their random, memoryless behavior. Airborne ad hoc networks require a flexible memory-based 3-dimensional mobility model. We present a new 3-dimensional implementation of the Gauss-Markov mobility model for airborne telemetry network simulations, and compare its behavior to memoryless models such as random waypoint and random walk using the ns-3 simulator.