Congestion control method

Abstract

The invention relates to a congestion control method, which comprises that when there are data clusterings needing to be sent, a hop node measures average sending time and average achieving time of the data clusterings in a medium access control layer, and obtains a first congestion metric value according to the average sending time and the average achieving time. The hop node arranges the first congestion metric value in the data clusterings and broadcasts the first congestion metric value. A last hop node obtains the first congestion metric value, and adjusts business volume rate according to the first congestion metric value. The congestion control method of the invention employs the average sending time and the average achieving time of the medium access control layer to obtain the congestion metric value which reflects congestion degree of the network, which realizes the purpose of releasing network congestion in time, effectively improves transmission efficiency and energy efficiency of the network, and has the advantages of high throughput, less data clusterings transmission clash, low time delay and clusterings losing rate, small node energy consumption, high precision degree, rapid response and the like.

Description

technical field [0001] The invention relates to a control method suitable for a wireless sensor network, in particular to a congestion control method. Background technique [0002] Wireless Sensor Network (WSN) is a form of network that does not need a fixed network as a support, and is especially suitable for military battlefields, intelligent transportation, environmental monitoring, space exploration and other fields. A wireless sensor network consists of one or more aggregation nodes and a large number of sensor nodes scattered in a certain area. A large number of sensor nodes are randomly distributed in the entire observed area, forming a network through self-organization, and cooperatively sensing, measuring, and processing and release information. After preliminary processing of the detected information, it is transmitted to the aggregation node in the form of multi-hop relay, and then reaches the monitoring center where the end user is located via the Internet, sate...

AI Technical Summary

Problems solved by technology

Practical applications show that end-to-end traffic rate adjustment uses accurate rate adjustment on each source node. Although the design of intermediate nodes is simplified, the response is slow; although hop-by-hop traffic rate adjustment can respond quickly, compared with other congestion The control method reduces the transmission delay and improves the throughput of the network, but it is difficult to accurately adjust the transmission rate of the forwarding packet of the intermediate node, resulting in low transmission efficiency and energy efficiency

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