为了最大化延长无线传感网络寿命,设计最优的基站移动模型,提出了基于混合整数规划MIP(Mixed Integer Programming)的高斯移动方案MIP-BSM(MIP-based Gaussian Base Station Mobility).该方案首先选择较大的标准方差,并依据此方差和零均值产生基站的候选位置,然后使用这些候选位置执行MIP模型,获取基站移动的最优位置.仿真结果表明,与随机移动模型相比,MIP-BSM能够获取更长的网络寿命.%In order to take advantage of base station mobility for prolonging WSN lifetime and determining the optimal mobility pattern, Mixed Integer Programming-based Gaussian Base Station Mobility(MIP-BSM)scheme is proposed in this paper. The paper firstly chooses a fairly large standard deviation value and generates the candidate base station posi-tions according to this standard deviation and zero mean. Secondly it runs the MIP model for the network lifetime optimi-zation by using the candidate base station positions. Simulation results show that MIP-BSM gives the longer network life-time values than random mobility.
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