A Multi-objective Optimization Algorithm of Task Scheduling in WSN
Keywords:Wireless Sensor Networks (WSN), task scheduling, multi-objective optimization, improved NSGA-II
Sensing tasks should be allocated and processed among sensor nodes inÂ minimum times so that users can draw useful conclusions through analyzing sensedÂ data. Furthermore, finishing sensing task faster will benefit energy saving. The aboveÂ needs form a contrast to the lower efficiency of task-performing caused by the Â ailureproneÂ sensor. To solve this problem, a multi-objective optimization algorithm of taskÂ scheduling is proposed for wireless sensor networks (MTWSN). This algorithm triesÂ its best to make less makespan, but meanwhile, it also pay much more attention toÂ the probability of task-performing and the lifetime of network. MTWSN avoids theÂ task assigned to the failure-prone sensor, which effectively reducing the effect of failedÂ nodes on task-performing. Simulation results show that the proposed algorithm canÂ trade off these three objectives well. Compared with the traditional task schedulingÂ algorithms, simulation experiments obtain better results.
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