Mobile Agent-Based Resource Allocation with Market-Oriented Approach in Sensor Networks

With a view to sensor networks, this paper designs a mobile agent-based system model for effective resource allocation with market-oriented approach. A mobile agent-based resource allocation policy named MARA is proposed to satisfy each agent's biding strategy for optimal access to a single resource in Nash equilibrium among the agents. The simulation in the scenario of target tracing demonstrates that MARA realizes an efficient allocation for computational resources by prioritizing agents, achieves a superior performance compared with traditional allocation policies.