基于非完全信息博弈竞标的无线传感器网络资源分配方法

针对无线传感器网络任务调度过程中造成的资源冲突问题，本文将其考虑为节点间的非完全信息博弈竞标过程，在参与竞标的节点进行决策时，引入隐马尔可夫链对其他竞争者的决策进行预测，同时资源分配过程中的多个优化目标，分别由任务和节点进行优化，并提出一种非完全信息博弈竞标算法。最后，在假设节点个人理性的前提条件下，论证了此非完全信息博弈竞标模型满足经济学原理中的激励相容性和最大化系统收益。并从实验仿真证明其有效性。

A non-complete information game bidding method for resource allocation in wireless sensor networks

For the resource conflicts issue caused during task scheduling in wireless sensor networks,this article consider it as the non-complete information game bidding process between the nodes, when the joined nodes make decisions, we introduce the hidden Markov chains to predict the decisions of other competitors, meanwhile , we assign the optimization objectives of resource allocation problem to the task agents and node agents, and propose a non-complete information game bidding algorithm.