A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments

Authored by Muaz A. Niazi, Amir Hussain

Date Published: 2011-02

DOI: 10.1109/jsen.2010.2068044

Sponsors: No sponsors listed

Platforms: NetLogo

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

In this paper, we present a novel formal agent-based simulation framework (FABS). FABS uses formal specification as a means of clear description of wireless sensor networks (WSNs) sensing a complex adaptive environment. This specification model is then used to develop an agent-based model of both the WSN as well as the environment. As proof of concept, we demonstrate the application of FABS to a boids model of self-organized flocking of animals monitored by a random deployment of proximity sensors.

Tags

agent-based simulation modeling flocking FABS boids cognitive sensors complex adaptive environment formal specification proximity sensing self organization wireless sensor networks