无线体域网低能耗功率控制与分布式调度算法

传输能耗在无线体域网的能耗中占比最大,降低传输能耗的核心是解决2个问题:传输时隙到来时选择哪个节点传输和所选节点以何种功率传输.针对前者现有调度算法忽视网络公平性要求的局限性,提出了一种包含公平性指数的分布式调度算法;针对后者当前功率控制算法采用固定函数模型的局限性,设计了一种基于比例—积分—微分的单输出神经网络(SPIDNN)自适应网络功率机制动态调整无线体域网中传感器节点的发射功率控制方法.仿真实验表明:相对其他方案,方案在保证网络公平性的前提下,降低了能量消耗.

Energy-efficient power control and distributed scheduling algorithm for WBAN

Transmission energy consumption is the largest proportion in the energy consumption of wireless body area network(WBAN)and the core of reducing it is to solve two problems:one is which node will be used to transmit when the transmission time slot comes;the other is transmission power of the selected node.For the first problem,to overcome that the existing scheduling algorithms ignore the fairness of the network,a distributed scheduling algorithm with fairness index is proposed. For the second problem,to overcome limitation that the current power control algorithms which use fixed function model,a transmission power control algorithm,which can dynamically adjust transmission power by using the PIDNN control algorithm with self-learning,SPIDNN is proposed.Simulation results show that compared with other schemes,the proposed scheme reduces the energy consumption under the premise of ensuring the fairness of the network.