Sedentary Random Waypoint

TL;DR

This paper introduces a modified random waypoint mobility model that incorporates returning to popular places and homes, analyzing its probabilistic properties and percolation behavior for large networks.

Contribution

It presents a more realistic mobility model for telecommunication networks and studies its probabilistic characteristics and percolation properties.

Findings

Detection and coverage times have exponential tail distributions.

The model exhibits specific percolation behavior.

Provides insights into network connectivity under realistic mobility patterns.

Abstract

We adjust the classical random waypoint mobility model used in the study of telecommunication networks to a more realistic setting by allowing participants of the network to return to popular places and individual homes. We show that the two fundamental random times of detection and coverage in this new probabilistic model for large random networks exhibit exponential tails. Furthermore we examine the model for percolation.