WSAN中基于拍卖的任务分配算法

Yugang Wang
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引用次数: 0

摘要

针对WSAN中任务分配不合理导致执行器能耗不均和任务执行时间过长的问题,提出了一种基于竞价的任务分配算法。建立了任务分解模型、任务效率模型和任务分配模型。拍卖执行器节点根据任务分解模型将所述任务分解为多个任务元素;执行器节点将任务元输入到任务效率模型中,计算完成任务元的效率;拍卖执行器节点根据任务分配模型综合选择最佳任务分配方案。仿真结果表明,与其他算法相比,该算法减少了任务完成时间,平衡了执行器的能量消耗,延长了网络寿命。
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Task allocation algorithm based on auction in WSAN
To solve the problem of unreasonable task allocation in WSAN, which leads to uneven energy consumption of actuators and too long task execution time, a task allocation algorithm based on auction is proposed. Task decomposition model, task efficiency model and task allocation model were established. The auction actuator node decomposes the task into a plurality of task elements according to the task decomposition model; The actuator node inputs the task element into the task efficiency model, and calculates the efficiency of the completed task element; The auction actuator node comprehensively selects the best task allocation scheme according to the task allocation model. Simulation results show that compared with other algorithms, this algorithm reduces the task completion time, balances the energy consumption of actuators and prolongs the network life.
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