论文部分内容阅读
现有的基于协作MIMO的无线传感器网络(WSN)传输策略设计往往只注重节能方面,追求网络生存时间的最大化,而忽略了网络数据速率在大部分实际工程应用中的重要性.基于线性多跳协作MIMO传输模型,分析了该模型的数据速率、平均功耗及生存时间并提出基于多目标进化算法——NSGA-Ⅱ的WSN优化算法.在NSGA-Ⅱ中,通过对种群进行初始化,利用二元锦标赛法选择,单点交叉,动态变异等操作进行进化,并采取利用最小生成树的权值表示拥挤度的方法保证种群的分布性.仿真结果表明:相比于聚集函数法,NSGA-Ⅱ所获得的网络生存时间更长.更重要的是,仿真给出一些能达到网络数据速率与生存时间两者同时最大且使网络功耗处于较小水平的参数值,能有效地指导于WSN工程应用.
The existing cooperative wireless sensor network (WSN) transmission strategy design based on collaborative MIMO tends to focus only on energy conservation and pursue the maximization of network lifetime while ignoring the importance of network data rate in most practical engineering applications.Based on the linear Hop cooperative MIMO transmission model, the data rate, average power consumption and lifetime of the model are analyzed and a WSN optimization algorithm based on multi-objective evolutionary algorithm (NSGA-Ⅱ) is proposed. In NSGA-Ⅱ, by initializing the population, Binary Championships selection, single-point crossover, dynamic mutation and other operations evolution, and take the minimum spanning tree weights to represent the degree of congestion to ensure population distribution.The simulation results show that: compared to the aggregate function method, NSGA- More importantly, the simulation gives some parameter values that can achieve both the maximum data rate and the lifetime of the network and make the network power consumption at a relatively small level, which can effectively guide the WSN Engineering Applications.