Energy-saving and low-delay opportunity broadcasting method in software self-defined sensor network

Abstract

The invention discloses an energy-efficient and low-delay code opportunity propagation strategy in a software self-defined sensor network. According to different node energy loss conditions after a data collection process, nodes in the network are divided into nodes with insufficient energy and nodes with sufficient energy. A grouping delay receiving method is adopted for the nodes with insufficient energy, the nodes in the same group receive broadcast at the same moment through grouping minimization of broadcast cost and node delay self-receiving time, and the purposes of reducing energy loss, optimizing network service life and reducing broadcast cost are achieved by effectively reducing broadcast times. A method of adding a new active time slot is adopted for the nodes with sufficient energy, a new time slot closest to a father node receiving time slot is added for the node, and by adding the new time slot, the broadcasting frequency and the broadcasting cost are reduced, and meanwhile, the broadcasting transmission efficiency is greatly improved. Compared with the prior art, the method has lower broadcast cost and higher transmission efficiency on the premise that the network life is not influenced.

Description

technical field [0001] The invention relates to the field of broadcast transmission in a software-defined sensor network, in particular to an energy-saving and low-delay code transmission mode. [0002] technical background [0003] With the development of the Internet of Things and 5G networks, the Internet of Everything has gradually become a future development trend, and the ability of wireless sensor networks to collect, process and send data has become increasingly important. The nodes in the sensor network can continuously collect data, detect and identify events, monitor the location and control the nodes. The characteristics of sensor nodes and their wireless connection make wireless sensor networks have broad application prospects, such as : Environmental monitoring and forecasting, health care, smart home, building status monitoring, complex machinery monitoring, urban transportation, space exploration, large workshop and warehouse management, and safety monitoring ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an energy-saving and low-delay opportunistic broadcasting method, which has solved the problem of increased delay caused by weighing energy consumption in existing solutions

[0007] To achieve this goal, the present invention adds a new active time slot to the node according to the remaining energy of the node after data collection, so that the node can receive the broadcast message in advance, thereby solving the problem of energy saving in the existing solution. Transmission efficiency reduction problem

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