Author:
Stefan Bosse
Affiliation:
University of Bremen, Germany
Keyword(s):
Multi-agent Platform, Sensor Network, Mobile Agent, Heterogeneous Networks, Embedded Systems.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agent Platforms and Interoperability
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Autonomous Systems
;
Bioinformatics
;
Biomedical Engineering
;
Cognitive Robotics
;
Distributed and Mobile Software Systems
;
Distributed Problem Solving
;
Enterprise Information Systems
;
Informatics in Control, Automation and Robotics
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Mobile Agents
;
Multi-Agent Systems
;
Operational Research
;
Robotics and Automation
;
Simulation
;
Software Engineering
;
Symbolic Systems
Abstract:
An agent processing platform suitable for distributed computing in sensor networks consisting of low-resource
(e.g., material-integrated) nodes is presented, providing a unique distributed programming model and enhanced
robustness of the entire heterogeneous environment in the presence of node, sensor, link, data processing,
and communication failures. In this work multi-agent systems with mobile activity-based agents are
used for sensor data processing in unreliable mesh-like networks of nodes, consisting of a single microchip
with limited low computational resources. The agent behaviour, interaction, and mobility (between nodes)
can be efficiently integrated on the microchip using a configurable pipelined multi-process architecture based
on Petri-Nets. Additionally, software implementations and simulation models with equal functional behaviour
can be derived from the same source model. Hardware and software platforms can be directly connected in
heterogeneous networks. Agent intera
ction and communication is provided by a simple tuple-space database
and signals providing remote inter-node level communication and interaction. A reconfiguration mechanism
of the agent processing system offers activity graph changes at run-time.
(More)