In view of the actor-actor task coordination in wireless sensor and actor networks(WSANs), a multi-objective task
scheduling approach is proposed. Considering the maximum response time, energy-balanced metric and storage cost, the task assignment among actors is formulated as a multi-objective optimization problem. A modified ideal point algorithm is used to solve the dimension problem caused by different targets. By translating the multi-objective optimization problem into a single-objective one, the near-optimum execution period of each task operation is scheduled in the approach. Simulation results show that the proposed algorithm is effective in terms of three performances.