Data aggregation and transmission method based on association pattern

Abstract

The invention discloses a data aggregation and transmission method based on an association pattern. The data aggregation and transmission method comprises the steps of (1) establishing a convergence routing table on the basis of a wireless sensor network; (2) aggregating and transmitting data, for any node, aggregation data pkts is a set of data packets, the format is {(i,v,kv,l,u,)}, and data collected by each node and data sent by a child node of the node are aggregated and then are sent to a father node of the node; (3) restoring data: restoring the data of the child node according to the data received from the child node by a root node and the association pattern of the root node and the child node, and then restoring data of a grandson node according to the data of the child node and the association pattern of the child node and the grandson node. The data aggregation and transmission method based on the association pattern has the advantages of high data transmission efficiency, simple and convenient implementation method and easiness in implementation.

Description

technical field [0001] The invention relates to a data aggregation transmission method based on an association mode. Background technique [0002] Wireless sensor networks are widely deployed in various physical systems, mainly for the collection and monitoring of various physical signals. Various nodes generally not only need to undertake the task of data collection, but also need to provide data forwarding services for surrounding nodes. [0003] Generally speaking, in order to ensure the reliability and accuracy of the collected / monitored data, a large number of nodes are usually densely deployed, so that the monitoring ranges of the nodes overlap with each other. Since the physical system is largely continuous, the physical data detected by neighbors often have little difference. [0004] As far as wireless sensor networks are concerned, various sensor nodes are usually powered by batteries, and the life cycle of nodes is closely related to the overall performance of t...

AI Technical Summary

Problems solved by technology

Processing and forwarding these redundant data will consume too much storage power of the node itself and shorten the life cycle of the node (that is, standby time)

When some nodes in the network fail due to exhaustion of energy, the stability of the network will be greatly reduced, and the adjacent nodes of the failed node will have to reacquire and calculate the path of data transmission, which will undoubtedly further aggravate the situation of other nodes. energy consumption, forming a vicious circle, which has a very adverse impact on the performance of the entire network

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