With node mobility characteristics and the harsh network environment of opportunistic networks, apron opportunistic networks have some problems. In this paper, with message forwarding a topology control routing strategy (MFATCR) is proposed to handle the issues mentioned above. To improve the overall delivery ratio of the network, in the early stage, the forwarding priority is determined in line with the urgency of the message. The messages that can be transmitted at the same time are determined by the characteristics of the apron network, and the transmission priority of such messages is determined to be the same level. To control the topology, some key nodes are set following the proposed method. In this stage, due to the uneven distribution of network nodes, different situations need to be discussed. According to the maximum communication radius of the starting and ending nodes (R_iniand R_aimand the distance between the two nodes L_ia there are three situations: 1. R_ini ≥ L_ia2; R_ini < L_ia and R_ini + R_aim ≥ L_ia and 3. R_ini < L_ia and R_ini + R_aim < L_ia. The number of nodes required to form the topology is determined for the different situations. Then, the relay nodes are selected from those key nodes for further routing and message transmission to render the transmission more reliable. After comparing with the ER, SAWR, and PR algorithms in the opportunistic networks, the simulation results prove that the proposed algorithm has obvious improvements in the delivery ratio and network overhead. In the external data set, MFATCR also showed relatively excellent performance.

由于节点移动性的特点和机会网络恶劣的网络环境，围裙机会网络存在一些问题。在本文中，通过消息转发，提出了一种拓扑控制路由策略（MFATCR）来处理上述问题。为了提高网络的整体投递率，前期根据消息的紧急程度确定转发优先级。可以同时传输的消息是由停机坪网络的特性决定的，这些消息的传输优先级被确定为同一级别。为了控制拓扑，按照所提出的方法设置一些关键节点。在这个阶段，由于网络节点分布不均，需要讨论不同的情况。R _ini和R_目标和两个节点L _ia之间的距离有三种情况： 1. R _ini  ≥  L _ia 2； 2。R _ini  <  L _ia 且 R _ini  +  R_目标 ≥  L _ia且 3. R _ini  <  L _ia 且 R _ini  +  R_目标 <  L _ia. 形成拓扑所需的节点数量是针对不同情况确定的。然后，从这些关键节点中选择中继节点进行进一步的路由和消息传输，使传输更加可靠。通过与机会网络中的ER、SAWR和PR算法进行对比，仿真结果证明所提算法在投递率和网络开销方面有明显的提升。在外部数据集中，MFATCR 也表现出较为优异的表现。