Fault tolerant task allocation in a multi-sensor supply chain monitoring system

The multi-agent task allocation problem as part of monitoring scenarios via distributed sensors has become a key research topic in the field of distributed multi-agent coordination, as in order to complete a complex monitoring task, the cooperation and coordination of agents are needed to be adopted. This paper addresses task allocation to coordinate sensors in a supply chain monitoring scenario by presenting an optimal control approach through task administration protocols of agent's collaboration. The proposed system provides a structured framework and a set of interaction services by controlling a network of sensors. The fact that sensors have limitations like reliability, accuracy and error, brings an interest to measure and identify them for appropriate decision making. Throughout reliability was analyzed using Monte Carlo simulation to measure the reliability impact of the agents on the system. The system's availability and fault tolerant operation was optimized. The number of processed tasks increased by 11% when reliability analysis recommendations were applied.