In low Earth orbit(LEO)satellite networks,on-board energy resources of each satellite are extremely limited.And with the increase of the node number and the traffic transmis-sion pressure,the energy consumption in the...In low Earth orbit(LEO)satellite networks,on-board energy resources of each satellite are extremely limited.And with the increase of the node number and the traffic transmis-sion pressure,the energy consumption in the networks presents uneven distribution.To achieve energy balance in networks,an energy consumption balancing optimization algorithm of LEO networks based on distance energy factor(DEF)is proposed.The DEF is defined as the function of the inter-satellite link dis-tance and the cumulative network energy consumption ratio.According to the minimum sum of DEF on inter-satellite links,an energy consumption balancing algorithm based on DEF is pro-posed,which can realize dynamic traffic transmission optimiza-tion of multiple traffic services.It can effectively reduce the energy consumption pressure of core nodes with high energy consumption in the network,make full use of idle nodes with low energy consumption,and optimize the energy consumption dis-tribution of the whole network according to the continuous itera-tions of each traffic service flow.Simulation results show that,compared with the traditional shortest path algorithm,the pro-posed method can improve the balancing performance of nodes by 75%under certain traffic pressure,and realize the optimiza-tion of energy consumption balancing of the whole network.展开更多
基金supported by the National Key Research and Development Program(2021YFB2900604).
文摘In low Earth orbit(LEO)satellite networks,on-board energy resources of each satellite are extremely limited.And with the increase of the node number and the traffic transmis-sion pressure,the energy consumption in the networks presents uneven distribution.To achieve energy balance in networks,an energy consumption balancing optimization algorithm of LEO networks based on distance energy factor(DEF)is proposed.The DEF is defined as the function of the inter-satellite link dis-tance and the cumulative network energy consumption ratio.According to the minimum sum of DEF on inter-satellite links,an energy consumption balancing algorithm based on DEF is pro-posed,which can realize dynamic traffic transmission optimiza-tion of multiple traffic services.It can effectively reduce the energy consumption pressure of core nodes with high energy consumption in the network,make full use of idle nodes with low energy consumption,and optimize the energy consumption dis-tribution of the whole network according to the continuous itera-tions of each traffic service flow.Simulation results show that,compared with the traditional shortest path algorithm,the pro-posed method can improve the balancing performance of nodes by 75%under certain traffic pressure,and realize the optimiza-tion of energy consumption balancing of the whole network.
文摘目的 基于疾病诊断相关分组(DRG)付费模式,分析不同DRG分组患者发生医院感染的医疗资源消耗情况,为优化医院感染防控和资源管理提供依据。方法 回顾性分析四川省某地市级医院2024年1月1日—12月31日出院患者病案资料及DRG相关指标,比较医院感染组(院感组)与非医院感染组(非院感组)患者医疗资源消耗情况,分层分析两组患者平均住院日数及次均住院费用差异。结果 2024年该院纳入DRG管理的出院患者医院感染发病率为1.57%。院感组与非院感组患者在年龄、性别、入院及离院方式方面的差异均有统计学意义(均P<0.05)。医院感染部位主要集中在下呼吸道、手术部位、泌尿道及血液。院感组时间消耗指数(1.63 VS 0.85)、平均住院日数(21.00 VS 5.00 d)、费用消耗指数(1.53 VS 0.92)、次均住院费用(4.47万VS 0.73万)及多项费用均高于非院感组(均P<0.05)。血流感染医疗资源消耗较高。医院感染患者多集中在急性白血病伴严重并发症或合并症(MCC)相关分组,颅内或开颅手术伴MCC相关分组,气管切开伴机械通气96 h相关分组及胃、食道和十二指肠手术相关分组。重点DRG组中院感组患者平均住院日及次均住院费用均高于非院感组,差异均有统计学意义(均P<0.05)。结论 医院感染显著增加医疗资源消耗,基于DRG分组分析可进一步确定感染防控的重点病组,更加准确细化地评价医疗资源消耗情况,进而优化医疗资源配置,提升医院运营效率。
