Article

Agent-based tools for modeling and simulation of self-organization in peer-to-peer, ad hoc, and other complex networks

Details

Citation

Niazi MAK & Hussain A (2009) Agent-based tools for modeling and simulation of self-organization in peer-to-peer, ad hoc, and other complex networks. IEEE Communications Magazine, 47 (3), pp. 166-173. https://doi.org/10.1109/MCOM.2009.4804403

Abstract
Agent-based modeling and simulation tools provide a mature platform for development of complex simulations. They however, have not been applied much in the domain of mainstream modeling and simulation of computer networks. In this article, we evaluate how and if these tools can offer any value-addition in the modeling & simulation of complex networks such as pervasive computing, large-scale peer-to-peer systems, and networks involving considerable environment and human/animal/habitat interaction. Specifically, we demonstrate the effectiveness of NetLogo — a tool that has been widely used in the area of agent-based social simulation.

Keywords
Agent-Based Models; Simulation; Wireless Sensor Network; Ad-hoc network; Self-Organization; Peer-to-Peer; NetLogo; Artificial intelligence Computer programs; Neural networks Computer science; Computational intelligence

Journal
IEEE Communications Magazine: Volume 47, Issue 3

StatusPublished
Publication date31/03/2009
URLhttp://hdl.handle.net/1893/2423
PublisherIEEE (Institute of Electrical and Electronics Engineers)
ISSN0163-6804