该文对传感器网络在能量受限条件下的数据传输进行建模,提出了一种基于效用最大化的网络优化模型。该模型刻画了传感器网络节点之间在能量消耗方面的耦合关系。该文通过引入松弛变量和采用对偶分解技术,获得传感器网络能量控制的分布式算法。实验表明,该算法对所有的节点能收敛到速率和能量之间的帕累托(Pareto)最优平衡。
The problem of data transmission in energy-constrained wireless sensor networks is modeled into a network utility maximization problem. This model describes the coupled nature of the energy consumption among different sensor nodes. The network utility maximization is solved by introducing the slack variables and using dual decomposition techniques, and a distributed energy control algorithm is obtained. Simulation results show that, the distributed algorithm can converge to the Pareto optimal tradeoff between data rates and energy consumption for all sensor nodes.