An Integrative Self-Organization Mechanism in a Distributed Agent Network

Abstract

Self-organisation provides a suitable concept for developing self-managed composite distributed systems, such as grid computing and sensor networks. In this paper, an integrative self-organisation mechanism is proposed. Unlike current related studies, which propose only a single principle of self-organisation, this mechanism synthesises the three principles of self-organisation: cloning/spawning, resource exchange and relation adaptation. Based on this mechanism, an agent can separately generate new agents, when it is overloaded, exchange resources with other agents if necessary, and modify relations with other agents to achieve a better agent network structure. In this way, agents can adjust to active environments. The proposed mechanism is evaluate through a evaluation with three other approaches, each of which represents up to date search in each of the three self-organisation principles. Experimental results display that the future mechanism outperforms the three approaches in terms of the profit of individual agents and the entire agent network, the load-balancing along with agents and the time use to finish a simulation run.