Data transmission method for opportunistic network

Abstract

The invention discloses a data transmission method for an opportunistic network. The method comprises the steps that a message takes a node A as a proxy node, and the node A carry out message transmission; property of a node B and the number of copies of the message carried by the node B are judged; priorities of the nodes A and B are calculated and compared; node activity of the node B is calculated; the node B is taken as a new proxy node for transmission of the message M; and the steps are repeated until a transmission process is finished. According to the method, the priorities and activity of the nodes are calculated according to interaction information between users, the nodes are selected as the proxy nodes for data transmission according to priority ranking, and the number of the copies needing to be forwarded is decided according to the activity of the nodes, so a transmission rate of the whole network is improved. According to the method provided by the invention, the stability of the nodes is ensured, the nodes are prevented from being exhausted due to excessive utilization, the data transmission efficiency is ensured, and the routing and transmission cost is reduced.

Description

technical field [0001] The invention specifically relates to a data transmission method of an opportunistic network. Background technique [0002] Opportunistic network is a kind of wireless self-organizing network. In this network, there is no complete path for communication between nodes. Nodes can only use the encounter opportunities brought by high-speed movement to achieve communication. The "storage-carry —Forwarding” data transmission mode. Because there is no end-to-end complete path, traditional wireless network routing algorithms cannot be used effectively in opportunistic networks. [0003] At present, the network is gradually being applied in fields such as biological tracking, vehicle network, and network coverage in remote areas. It solves the situation that the traditional network cannot be used normally in remote areas, low network coverage and hard-hit areas. Therefore, how to distribute data in opportunistic networks is a research hotspot at home and abr...

AI Technical Summary

Problems solved by technology

Although this type of algorithm spreads quickly, it often consumes a lot of network resources during the transmission process and is likely to cause network congestion.

The algorithm based on the forwarding principle does not copy data packets during the propagation process, and there is no data copy. Therefore, this type of algorithm has low network cost but also causes low transmission efficiency, low transmission success rate, and large delay.

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