In delay-tolerant networks (DTN), node connection time and message transmission time are two important influencing factors that can improve the delivery rate. In this paper, we first define a new concept called communication capability (CC) and then apply this concept to the delivery predictability formulation in Prophet and improve it. Then, in Prophet, the selection of relay nodes relies only on the delivery predictability and ignores the caching and forwarding capability of the node. Therefore, we combine delivery predictability, buffering, and forwarding capability to develop a new adaptive relay node selection strategy. Subsequently, we define two metrics called message priority (MP) and message strength (MS). The node forwards messages sequentially based on message priority and discards messages based on message strength. Finally, we present a probabilistic routing algorithm based on node communication capability and message strength (CAMS). The simulation results show that compared with traditional routing algorithms, the CAMS can effectively improve the message delivery rate, reduce the overhead ratio, and keep average hop counts low.

中文翻译：

---

一种基于节点通信能力和消息强度的概率路由算法

在延迟容忍网络（DTN）中，节点连接时间和消息传输时间是可以提高传递率的两个重要影响因素。在本文中，我们首先定义了一个称为通信能力（CC）的新概念，然后将这个概念应用到 Prophet 中的交付可预测性公式中并对其进行改进。那么，在Prophet中，中继节点的选择只依赖于投递的可预测性，而忽略了节点的缓存和转发能力。因此，我们结合交付可预测性、缓冲和转发能力来开发一种新的自适应中继节点选择策略。随后，我们定义了两个指标，称为消息优先级 (MP) 和消息强度 (MS)。节点根据消息优先级顺序转发消息，根据消息强度丢弃消息。最后，我们提出了一种基于节点通信能力和消息强度（CAMS）的概率路由算法。仿真结果表明，与传统路由算法相比，CAMS能够有效提高消息传递率，降低开销率，保持较低的平均跳数。