基于功率配置和关联管理的WLAN能耗优化算法

Optimization of WLAN energy consumption based on power configuration and association management

为实现WLAN节能并保证网络性能,研究并提出了一种基于功率配置和关联管理的WLAN能耗优化算法.首先,采用细粒度的能耗模型来定义AP功率,并利用整数线性规划(ILP)对能耗优化问题进行形式化描述,即通过调度射频接口的活跃/休眠状态,配置AP的信号发射功率,以及管理AP与用户的关联关系,在保证用户带宽需求的前提下,降低网络能耗.然后,提出一种高效的启发式算法,以迭代的方式选择开启的AP及功率级,并确定所关联的用户.在每次迭代中,以最大化能效的策略进行AP及其功率级的选择.实验结果表明,该算法能有效实现WLAN节能,并具有较高的运行效率,能够适用于大规模的WLAN.

To save the energy consumption and guarantee network performance in wireless local area networks(WLANs),an energy consumption optimization algorithm based on power configuration and association management is proposed.First,a fine-grained energy consumption model is adopted to define the power of access points(APs),and the optimization problem is formulated as an integer linear programming(ILP) model.It aims to minimize the energy consumption of APs through scheduling the radios to be active or sleeping,configuring the transmit power,and managing the associations between APs and users,while satisfying the bandwidth requirements of users.Then,an efficient heuristic algorithm is proposed by iteratively choosing an AP to be active,selecting the transmit power level and determining user associations.In each iteration,the AP and its power level with the maximum value of energy efficiency is selected.Simulation results show that the proposed algorithm can save energy consumption effectively.It also demonstrates that the algorithm has significant advantages in execution efficiency,and can be well applied in large-scale WLANs.