Opportunistic network (OppNet) is described as one of the most challenging network models, since contact between nodes is intermittent. In OppNet, an end-to-end path between the source and the destination does not exist because of nodes mobility. Therefore, relay nodes store then transmit the packets whenever a connection is available. Thus, store-carry-forward is the technique that allows OppNet to deliver messages from source to destination. One of the main drawbacks of this technique is the buffer congestion. Due to the unavailability of continuous connection between nodes, the message might stay in buffer’s nodes for a long period without being transmitted, which will lead to buffer overload. Several routing algorithms have been studied in order to manage the buffer’s nodes. In this paper, a novel adaptive buffer management policy that takes into consideration the limited network resources such as energy and bandwidth is proposed. The new solution relying on three policies; blacklisting, scheduling and dropping is capable to adapt with the modification of several network parameters such as message size, node capacity and network density. The simulation results show that the proposed solution improves the performance of OppNet by increasing the delivery rate and decreasing the network resource consumption.

机会网络（OppNet）被描述为最具挑战性的网络模型之一，因为节点之间的联系是间歇性的。在OppNet中，由于节点的移动性，源和目标之间的端到端路径不存在。因此，只要有可用的连接，中继节点就会存储然后传输数据包。因此，存储转发是允许OppNet将消息从源传递到目标的技术。该技术的主要缺点之一是缓冲区拥塞。由于节点之间无法连续连接，因此消息可能在缓冲区的节点中停留很长时间而没有传输，这将导致缓冲区过载。为了管理缓冲区的节点，已经研究了几种路由算法。在本文中，提出了一种新的自适应缓冲区管理策略，该策略考虑了有限的网络资源（例如能量和带宽）。新的解决方案依赖于三个策略；列入黑名单，调度和删除都可以适应几个网络参数的修改，例如消息大小，节点容量和网络密度。仿真结果表明，所提出的解决方案通过提高传输速率和减少网络资源消耗来提高OppNet的性能。