A Multi-Agent-Based Task Scheduling Algorithm for Distributed Measurement and Control System

A new dynamic task scheduling algorithm for distributed measurement and control system is proposed based on multi-agent. This algorithm adopts the receive-initiated scheduling strategy and dynamically migrates tasks according to the current status of load on each node. So the algorithm can promote system efficiency and attain load balancing. The tasks is migrated with mobile agent in order to decrease network transmission and save time effectively.