Hybrid performance modelling of opportunistic networks

Luca Bortolussi
(University of Trieste)
Vashti Galpin
(University of Edinburgh)
Jane Hillston
(University of Edinburgh)

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.

In Herbert Wiklicky and Mieke Massink: Proceedings 10th Workshop on Quantitative Aspects of Programming Languages and Systems (QAPL 2012), Tallinn, Estonia, 31 March and 1 April 2012, Electronic Proceedings in Theoretical Computer Science 85, pp. 106–121.
Published: 3rd July 2012.

ArXived at: http://dx.doi.org/10.4204/EPTCS.85.8 bibtex PDF
References in reconstructed bibtex, XML and HTML format (approximated).
Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org