RWP+: A New Random Waypoint Model for High-Speed Mobility

TL;DR

This paper introduces RWP+, an enhanced random waypoint model that accurately captures high-speed mobility patterns on roads by using lognormal and mixed normal distributions for trip lengths and velocities, respectively.

Contribution

It proposes a novel mobility model, RWP+, with statistically grounded assumptions that better emulate real-world high-speed road mobility.

Findings

RWP+ accurately models trip lengths with lognormal distribution.

Velocities are modeled as a mixture of normal distributions.

Mobility metrics like handoff rates are improved with RWP+.

Abstract

In this letter, we emulate real-world statistics for mobility patterns on road systems. We then propose modifications to the assumptions of the random waypoint (RWP) model to better represent high-mobility profiles. We call the model under our new framework as RWP+. Specifically, we show that the lengths of the transitions which constitute a trip, are best represented by a lognormal distribution, and that the velocities are best described by a linear combination of normal distributions with different mean values. Compared to the assumptions used in the literature for mobile cellular networks, our modeling provides mobility metrics, such as handoff rates, that better characterize actual emulated trips from the collected statistics.