机会网络通过利用节点移动所形成的相遇机会转发消息以实现节点之间的通信,这种与传统网络不相同的组网方式给拥塞控制机制带来了新的挑战。拥塞会使结点的存储空间处于持续耗尽状态,对网络的性能产生严重影响。为此,提出了机会网络中基于节点效用值的拥塞控制策略。节点效用值由节点的社会度、延迟、存储能力以及丢弃可能性计算得出,以效用值的大小来评判节点的拥塞情况进而选择合适的转发消息下一跳节点。本文采用ONE仿真平台进行算法性能的仿真。仿真结果表明,本文提出的算法能有效的提高投递成功率、降低网络负载和丢包数量。 The opportunistic network forwards messages by utilizing the chances of encountering nodes to move to realize the communication between nodes. This way of networking which is different from the traditional network brings new challenges to the congestion control mechanism. Congestion will keep the nodes’ storage space exhausted and have a serious impact on the performance of the network. Therefore, a congestion control strategy based on node utility value in opportunistic networks is proposed. The node utility value is calculated from the node’s social degree, delay, storage capacity and discard possibility. The utility value is used to judge the congestion status of the node and then select the next hop node to forward the message. This paper uses ONE simulation platform to simulate the performance of the algorithm. The simulation results show that the proposed algorithm can effectively improve the delivery success rate and reduce the network load and packet loss.