移动POS机流量资费的优化研究

Research on Optimization of Communication Cost of Mobile Point of Sale

移动POS机随着移动支付的兴起而得到广泛的应用。当某款移动POS机在市场占有率达到一定程度时,移动运营商会给予该POS机供应商支付套餐的修改特权,即允许POS机供应商在每月资费结算日前夕自行修改每台移动POS机的流量套餐类型。通过修改流量套餐类型,POS机供应商可以节省流量资费成本。为了尽量节省流量资费成本,首先建立了流量套餐分配优化问题的数学模型;然后,采用蚁群算法对流量套餐进行优化,并与人工优化的情况进行对比。结果表明,采用蚁群算法比人工的资费结果更优14.9%左右,时间效率上提高了92.4%以上。可见,采用计算机算法优化的结果以及计算效率都显著好于人工优化的情况为企业降低成本创造了良好的条件。

Mobile Point of Sale(POS)has been widely applied with the rise of mobile payment.When the market share of a mobile POS reaches a certain level,the mobile operator will give the POS supplier the privilege to pay for the modification of the package,that is,to allow the POS supplier to modify the tariff package type of each mobile POS on the eve of the monthly tariff settlement.By modifying the tariff package type,mobile POS providers can save the cost of traffic charges.In order to save the cost of traffic charges as much as possible,the mathematical model of tariff package allocation optimization problem was established firstly,and then the ant colony algorithm was used to optimize the tariff package,and compared with the situation of manual optimization.The results show that the cost of using ant colony algorithm is 14.9%better than that of artificial method,and the time efficiency is improved by 92.4%.The results and computational efficiency of computer algorithm optimization are significantly better than those of manual optimization.This creates favorable conditions for enterprises to reduce costs.