ITM Web of Conferences
Volume 1, 2013ACTIMS 2012 – Activity-Based Modeling & Simulation 2012
|Number of page(s)||15|
|Published online||29 November 2013|
On the use of Dynamic Topologies for Representing Spatially Moving Entities
Departamento de Engenharia Informática, Universidade de Coimbra, Portugal
a e-mail: email@example.com
In many psychical systems, entities can only communicate when within the range of their sensors. When entities are static, the topology of the communication infrastructure can be known in advance and kept unchanged during simulation. However, representing moving entities becomes more complex since interconnections change with time as the relative distances between entities evolve. Given the dynamic nature of the problem, a common solution involves the use of publish/subscribe communication and the corresponding multicast message passing. In this paper we exploit the use of a peer-to-peer infrastructure (p2p) exhibiting a dynamic topology as an alternative representation for spatially moving entities. We use the Heterogeneous Flow Systems Specification (HFSS), a modular modeling formalism designed to represent hybrid systems with time-variant topologies. We present a simplified model of a defense system comprising airborne radars, drone detection and cancellation. We demonstrate the benefits of p2p communication over publish subscribe interaction.
© Owned by the authors, published by EDP Sciences, 2013
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.