Link scheduling method and system suitable for long-delay SIC network

Abstract

The invention relates to a link scheduling method and system suitable for a long-delay SIC network. The method comprises the following steps: generating a minimum power value of transmission signals of each sending node that can be decoded by an SIC algorithm according to the number of the sending nodes, ambient noise power and a signal-to-interference ratio threshold of the SIC algorithm, and collecting the minimum power values as a K-SIC power threshold vector to divide sending power levels for each sending node; determining a load state of a long-delay network according to the amount of data sent by each sending node, executing a minimum frame length scheduling algorithm according to the load state and the sending power levels, and generating a minimum scheduling frame length of the long-delay network; and executing a minimum power scheduling algorithm according to the number of the sending nodes, the minimum scheduling frame length and a reception mechanism of receiving nodes to obtain a link scheduling strategy that minimizes the power consumption of the whole network. Thereby, the transmission efficiency between the nodes in the long-delay SIC network can be improved, and theoverall energy consumption of the long-delay SIC network can be reduced.

Description

technical field [0001] The invention relates to the field of long-delay network media medium access control in information technology, in particular to a link scheduling method and system suitable for long-delay SIC networks. Background technique [0002] Since the acoustic channel is used as the data transmission method, the transmission speed of sound in water is only 1500m / s, so the Underwater Sensor Networks (UWSN) is a typical long-delay network in real life. The main task of UWSN is to perceive the underwater objective world, transmit the data sensed by underwater sensors in a self-organizing manner, and then organize, process, fuse, analyze and store these data. Therefore, unlike common network technologies (such as mobile communication networks, terrestrial wireless sensor networks, etc.), UWSN has the characteristics of large network scale, self-organization and high dynamics. [0003] The Media Access Control (MAC) layer is located between the physical layer and t...

AI Technical Summary

Problems solved by technology

In addition, affected by environmental factors such as salinity, temperature, ocean current, and depth, the propagation speed of underwater acoustic signals in water is very unstable, which causes delay jitter in underwater acoustic communication

High latency and delay jitter problems bring great challenges to the time synchronization of underwater sensor network nodes

[0005] 2. Limited battery energy and high power consumption

[0006] 3. Limited communication capabilities

SIC technology cannot resolve all conflicts

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