Underwater wireless sensor network energy perception data aggregation method and system and storage medium

Abstract

The invention discloses an underwater wireless sensor network energy perception data aggregation method and system, and a storage medium. The method comprises the following steps: 1) determining the number of sensor nodes and the coordinates of the sensor nodes in an underwater wireless sensor network system; 2) calculating the residual energy of each sensor node; 3) the decision stump dividing the sensor nodes into high-energy nodes and low-energy nodes by using a preset threshold value; calculating the weight of each weak classifier in the final integrated classifier by using an LPBoost algorithm according to the error rate, and performing linear combination to obtain a classification result with higher precision; 4) according to the Manhattan distance, the low-energy sensor nodes gathering the data to the nearby sensor nodes with higher energy; and 5) the Sink node collecting the data from the high-energy sensor node and transmitting the aggregated data to the base station. According to the method provided by the invention, better energy utilization rate and longer network service life can be obtained at the same time under better data aggregation precision.

Description

technical field [0001] The invention relates to an energy sensing data aggregation method of an underwater wireless sensor network based on integrated learning, and belongs to the field of underwater wireless sensor networks. Background technique [0002] Underwater wireless sensor networks (UWSNs) often collect data from sensor nodes, and then select an effective path to send the data to the surface Sink node and then forward it to the ground base station. This data transmission process is called data aggregation. At present, the data aggregation process of underwater wireless sensor networks consumes a lot of energy for nodes, and the low power of important nodes may even cause network paralysis. [0003] Existing node data aggregation methods mainly include Energy and Fault Awareness-based Multi-Mobile Agent Trip Planning (MAEF) and Zone Energy Awareness-based Data Collection Routing Protocol (ZEAL). Among them, MAEF improves energy utilization and data transmission effi...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in the existing data aggregation method of underwater wireless sensor network, data aggregation accuracy and network life cannot be achieved at the same time, and better energy utilization rate and network life need to be obtained

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