中文摘要：

Ad Hoc网络存在着无线多跳连接、节点移动这两个本质的特点．前者引起了与固定网络截然不同的信息流竞争新特点，后者导致了网络状态不断发生变化．首先，在采用链路干扰集描述信息流竞争特点的基础上，将小时间段内网络状态不变的拥塞控制问题表达成非线性优化问题；其次，运用基于对偶分解理论的价格协作法PCA（pfice cooperation approach）求解该优化问题，构建了一个基于链路干扰集的价格框架同时，运用队列长度监控、邻居集合近似和HELLO捎带信息这3种技术将PCA转化成在实际Ad Hoc网络环境中可实施的协议．另一方面，运用状态检测和滚动优化方法，有针对性地解决Ad Hoc网络状态不确定时变性带来的问题，相应地设计了自适应优化策略AOS（adaptive optimization strategy）．MATLAB仿真结果表明，AOS策略比PCA对网络状态的变化具有更好的自适应性能．NS仿真实验结果表明了PCA和PCA＋AOS在几乎所有的仿真场景和移动环境下,在重要的性能指标，包括吞吐量、丢包率、公平性等方面，都比TCE3ATCP和ATP有了明显的改进．

英文摘要：

In Ad Hoc networks, there exist two fundamental characteristics： Multi-Hop wireless-based transmission and node mobility. The former results in different contention relationship among flows from that in wireline networks, and the latter leads to the time-varying network situations. Firstly, on the basis of the link＇s interference set depicting the characteristics of the contention relationship, the congestion control problem for small time interval is formulated as a nonlinear optimization problem. Secondly, by using the dual decomposition theory, a price cooperation approach （PCA） is proposed to solve this optimization problem. In PCA, a price framework based on the link＇s interference set is built. Meanwhile, to implement PCA in realistic ad hoe environment, three deployment techniques are proposed： Queue Size Monitoring, Neighbor Set Approximation, and HELLO-based Message Piggybacking. Otherwise, the network status detection and receding optimization is introduced to deal with the uncertain changes of network situations, and an adaptive optimization strategy （AOS） is proposed correspondingly. The simulation results in MATLAB environment show that AOS has better performance of adaptation to time-varying network situations than PCA. The simulation result in NS2 environment show that PCA and PCA＋AOS significantly outperform TCP, ATCP, and ATP in many important performances, including throughput, packet drop ratio, and fairness, under a variety of scenarios and mobility models.