A Method of Agent Task Representation and Processing in Pervasive Computing Environment

Abstract

It is an effective approach to adopt software agent in pervasive computing environment. The tasks of agents in pervasive computing environment is dynamic and continuing changeful, so that the task representation should be changeable and agent-oriented. But most of the existing methods of task representation can not present task relationship clearly and lack unified format. In this paper an agent based pervasive computing platform is presented which endows agents with various roles. Based on analysis of task relationship, an agent's role based task relationship tree (TRT) model and TRT based task processing methods are proposed. Furthermore, an XML-based method of task representation is presented. Finally, a prototype of an application on traffic monitoring is presented and the results of evaluation indicate that the platform is feasible and the proposed method has better performance than other methods.