Actively predicted reliable data transmission method in wireless sensor network

Abstract

The invention discloses an actively predicted reliable data transmission method in a wireless sensor network, which comprises the following five steps of: 1, dividing the sensor network into a plurality of grids, wherein the number of the grids is determined by the network scale and the node communication radius r; 2, selecting A type nodes from each grid, and recording the input and output rate of all the nodes in the grid in the period; 3, analyzing each node by adopting a single service window mixed queuing model M / M / 1 / m; 4, calculating an average input and output rate of the A type nodes according to the recorded node input and output rate, counting storage usage of each node, and calculating the average storage usage of the grid; and 5, setting the weight for node level and system level control methods respectively according to the network conditions by combining the steps 3 and 4. The method improves channel bandwidth utilization rate, reduces network energy consumption, solves the problem of the reliability of the sensor network data transmission, and has practical value and wide application prospect in the technical field of reliable data transmission in the wireless sensor network.

Description

(1) Technical field [0001] The invention relates to an active predictive wireless sensor network reliable data transmission method, which belongs to the technical field of reliable data transmission in wireless sensor networks. (2) Background technology [0002] Wireless sensor network integrates sensor technology, micro-electromechanical system (MEMS) technology, embedded computing technology, wireless communication technology and distributed information processing technology. Widely used in industrial control and monitoring, home automation and consumer electronics, security and military, material tracking and supply chain management, smart agriculture, environmental perception and health monitoring, and many other aspects. [0003] The sensor network used in monitoring has centralized data collection, multi-hop data transmission, many-to-one traffic patterns, and traffic mutations caused by emergencies, etc., which can easily cause local or global congestion of the networ...

AI Technical Summary

Problems solved by technology

The traffic scheduling method reduces the traffic load in the congested area by dispatching part of the traffic in the congested area to the nearby non-congested area; but it is often used in combination with routing protocols, and its versatility is not strong

The in-network processing method compresses, discards or aggregates data packets forwarded by nodes according to the characteristics of sensor network applications; this method requires sensor nodes to be able to understand the data they forward, and to ensure that the amount of network data is within a certain range It is suitable for networks that generate data periodically, but not for networks with traffic bursts caused by emergencies

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