基于网络效用与寿命的无线传感器网络跨层优化

Cross-layer optimization of WSN based on network utility and lifetime

为有效提高无线传感器网络在节点能量、存储与计算能力资源受限条件下的网络能力,提出了一种基于网络效用与功耗的跨层资源优化算法。综合物理层功率控制、Mac层接入控制、传输层流量控制模型,以网络效用和寿命为优化目标,建立了以拥塞代价和能量代价为基础的网络协同优化机制,采用垂直分解理论实现优化目标的逐层分解,推导出基于节点的功耗、链路接入概率和速率的更新公式,实现了分布式的优化解决方案。

In order to improve the network efficiency with limited resource,i.e.energy,capability of calculation and memory.A cross-layer algorithm of resource optimization for Wireless Sensor Networks（WSN） is proposed,which is based on network utility and network lifetime.The energy control in physic layer,the access control in Mac layer and the traffic control in transfer layer are considered together to represent the optimization problem.The vertical decomposing is used by introducing congestion price and energy price to update the node based energy consumption,link access probability and rate.The series of solution is distributed,and simulation results prove the convergence of the resolution.