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 hoc 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.