A Congestion Control Method Based on Social Awareness in Delay Tolerant Networks

Abstract

A congestion control method based on social perception in a delay-tolerant network. Aiming at the congestion problems caused by intermittent connections, long delays and node cache limitations in social delay-tolerant networks, a congestion control method based on social perception is proposed, considering the node According to the social relationship characteristics and congestion degree of the social relationship, the social congestion measurement value is constructed, and the message is forwarded to the node with a higher social congestion measurement value during the forwarding process. When congestion occurs, according to the social relationship between the destination node corresponding to the message and the current node carrying the message Value, select the message corresponding to the minimum value and discard it, reducing the impact on routing efficiency due to blind packet loss. The simulation results show that compared with the existing algorithms, the SACC algorithm can effectively improve the delivery success rate, reduce the packet loss rate, and reduce the overhead within the tolerable delay range.

Description

technical field [0001] The invention is a congestion control algorithm based on the social relationship between nodes, which belongs to the field of congestion control of delay-tolerant networks. Background technique [0002] Delay Tolerant Networks or DTN (Delay Tolerant Networks) is a restricted network (Challenged Network) that supports the interoperability of various regional networks and converts between the communication characteristics of various regional networks. In the social application scenarios of delay-tolerant networks , the way nodes move usually has certain social characteristics. Using the social attributes of nodes to solve key problems in DTN social scenarios has become an important technical means. Messages are transmitted to key nodes in the network with many social relationships and strong forwarding capabilities. , to improve routing efficiency. But on the other hand, due to the limited network resources, it is easy to cause some nodes, especially th...

AI Technical Summary

Problems solved by technology

However, most of the existing discarding strategies do not consider the social relationship between the node carrying the message and the destination node. It is likely that the destination node discarding the message has a strong social relationship with the current node, and the probability of successful forwarding in the future is very high. The discarding strategy prevents such messages from being received by the destination node quickly, and the routing efficiency is greatly reduced

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