Multi-objective task scheduling for wireless sensor and actor networks

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.