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Design of Minimizing Expected Energy of Multisource Wireless Cooperative Network Based on Multiobjective Optimization

机译:基于多目标优化最小化多源无线协作网络预期能量的设计

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In order to solve the problems of high average power consumption, low average throughput, high average energy consumption per unit of data, and short network life cycle in traditional multisource wireless cooperation methods, this paper proposes a multisource wireless cooperative network design method based on multiple goals. We analyze the characteristics of heterogeneous deployment of multisource wireless cooperative networks and the energy consumption of nodes and control the energy consumption of network data transmission through distributed opportunistic transmission scheduling methods according to the analysis results. We use the optimal strategy of minimizing expected energy consumption, transform the problem of data transmission energy consumption, establish a mathematical model, and obtain the optimal solution for minimizing expected energy consumption. According to the optimal stop rule, the minimum expected energy consumption threshold is obtained, and then the optimal solution is obtained on the constraint set of the multiobjective optimization problem through the multiobjective optimization method, so as to achieve the goal of minimizing the expected energy of the network. Experimental results show that this method prolongs the network life cycle, reduces the average power consumption of network data transmission, and improves the average network throughput.
机译:为了解决高平均功耗的问题,平均吞吐量低,每单位数据平均能耗,以及传统多源无线合作方法中的短网络生命周期,本文提出了一种基于多个的多源无线协同网络设计方法目标。我们分析了多源无线协作网络的异构部署特征以及节点的能耗,并通过根据分析结果通过分布式机会传输调度方法控制网络数据传输的能量消耗。我们使用最大限度地减少预期能耗的最佳策略,改变数据传输能量消耗的问题,建立数学模型,获得最大限度地降低预期能量消耗的最佳解决方案。根据最佳停止规则,获得最小预期能量消耗阈值,然后通过多目标优化方法在多目标优化问题的约束集上获得最佳解决方案,从而实现最小化预期能量的目标网络。实验结果表明,该方法延长了网络生命周期,降低了网络数据传输的平均功耗,提高了平均网络吞吐量。

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