Hybrid performance modelling of opportunistic networks

TL;DR

This paper presents a novel approach to model opportunistic networks using stochastic HYPE, capturing traffic flows, node contacts, and decisions, demonstrated through a case study with stationary sensors and a mobile data ferry.

Contribution

The paper introduces a flexible stochastic process algebra model for opportunistic networks, showcasing its application to various mobility models and buffer configurations.

Findings

Stochastic HYPE effectively models network dynamics.

The approach accommodates different mobility and buffer scenarios.

Simulation results validate the model's flexibility.

Abstract

We demonstrate the modelling of opportunistic networks using the process algebra stochastic HYPE. Network traffic is modelled as continuous flows, contact between nodes in the network is modelled stochastically, and instantaneous decisions are modelled as discrete events. Our model describes a network of stationary video sensors with a mobile ferry which collects data from the sensors and delivers it to the base station. We consider different mobility models and different buffer sizes for the ferries. This case study illustrates the flexibility and expressive power of stochastic HYPE. We also discuss the software that enables us to describe stochastic HYPE models and simulate them.