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To achieve more cost-effective assignment of real-time tasks to actors in wireless sensor actor networks we propose a distributed auction-based protocol that uses tasks' deadlines, actors' energies, actors' loads and actors' distances from event area as a cumulative cost metric. The protocol chooses actors closest to event area with lowest loads and highest remaining energies to minimize the response time of tasks, balance loads on actors and maximize total remaining energy of actors. Simulations show higher deadline meet-ratio and remaining energies of actors, and more balanced loads on actors, compared to SAP and SAAP task-assignment protocols.

Distributed assignment of real-time tasks in wireless sensor actor networks