Sensing tasks should be allocated and processed among sensor nodes in?minimum times so that users can draw useful conclusions through analyzing sensed?data. Furthermore, finishing sensing task faster will benefit energy saving. The above?needs form a contrast to the lower efficiency of task-performing caused by the ?ailureprone?sensor. To solve this problem, a multi-objective optimization algorithm of task?scheduling is proposed for wireless sensor networks (MTWSN). This algorithm tries?its best to make less makespan, but meanwhile, it also pay much more attention to?the probability of task-performing and the lifetime of network. MTWSN avoids the?task assigned to the failure-prone sensor, which effectively reducing the effect of failed?nodes on task-performing. Simulation results show that the proposed algorithm can?trade off these three objectives well. Compared with the traditional task scheduling?algorithms, simulation experiments obtain better results.
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