Multi-agent system architecture for tracking moving objects

  • Authors:

  • Yingge Wang;Elhadi Shakshuki

  • Affiliations:

  • Computer Science Department, Acadia University, Nova Scotia, Canada;Computer Science Department, Acadia University, Nova Scotia, Canada

  • Venue:
  • AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
  • Year:
  • 2003

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Abstract

There is an increasing demand for both tools and techniques that track the location of people or objects. This paper presents a multi-agent tracking system architecture that consists of several tracking software agents and uses GPS receivers as a signal-sending platform. The system acts as a mediator between the user and the tracking object environment. Objects carry Global Positioning System (GPS) receivers to locate their positions. These objects can move around within a predefined area, which is divided into several sub-areas. Each sub-area is monitored by one of the tracking agents. All agents of the system have similar architecture and functions and are able to communicate and coordinate their activities with each other to trade information about the position of the object. A prototype of this environment is being implemented to demonstrate its feasibility, using the ZEUS toolkit.