A Privacy-Preserving Continuous Data Aggregation Method in Sensor Networks

Abstract

The invention discloses a privacy protection-oriented continuous data aggregation method in a wireless sensor network. Existing privacy-preserving data aggregation algorithms mainly focus on snapshot aggregation, while the traffic and energy consumption of snapshot aggregation algorithms are not suitable for direct application to continuous data aggregation. The invention utilizes the time correlation of the sensing data, and determines whether the node transmits the current sensing data by setting a threshold, thereby effectively reducing the data traffic. Aiming at the problem that excessive encryption and decryption calculations cause high energy consumption of node calculations, the invention ensures the privacy of data by adding random numbers to the transmitted sensing data, avoiding the need to encrypt and decrypt sensing data during data transmission between nodes operation, which saves computing energy consumption of nodes and prolongs the life of the network. The present invention effectively reduces communication and computing energy consumption while ensuring the privacy of perceived data, and has good network scalability.

Description

Technical field [0001] The invention relates to the technical field of wireless sensor network security, in particular to a continuous data aggregation method for privacy protection in a sensor network. Background technique [0002] Because sensor nodes are very limited in energy, computing and storage capabilities, especially battery-powered and difficult to replace, saving energy consumption and extending the service life of the network are important challenges faced by the wireless sensor network research institute. Since the energy consumption required to transmit 1bit data is much higher than the energy consumption of 1 instruction, reducing the amount of communication is the key to saving energy. Data aggregation technology is one of the main technologies for reducing the amount of communication in wireless sensor networks. At the same time, wireless sensor networks are generally deployed in the field and transmit data in a multi-hop and wireless manner, causing the network...

AI Technical Summary

Problems solved by technology

Obtaining continuous data aggregation results by continuously executing the existing snapshot data aggregation method is too inefficient in terms of data privacy and energy consumption. It is necessary to target the application scenario of continuous data aggregation based on privacy protection in wireless sensor networks. sex studies

[0004] In addition, the existing privacy-preserving data aggregation methods generally use encryption technology to ensure data privacy, which requires a large number of encryption and decryption operations during the data aggregation process, resulting in serious delays and computing energy consumption.

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