Method for losslessly compressing data of wireless sensor network

Abstract

The invention relates to a method for losslessly compressing data of a wireless sensor network. The method comprises the following steps of: acquiring original data and storing the original data to an SD (Secure Digital ) card by a sensor network node by utilizing a sensor; determining a maximum data length n to be compressed and processed each time by the node according to the volume of an internal memory; reading out the original data with the length n by the node, and calculating a difference sequence between adjacent data; and carrying out self-adaptive Rice coding on the difference sequence and an original data initial value by the node, then replacing the original data in the SD card with the coded compressed data, and transmitting the compressed data to an aggregation terminal through a wireless network. According to the method, the high-efficiency lossless compression of the data is realized by utilizing the characteristics of the original data in the sensor network, and the computation complexity is low, so that the method is suitable for various kinds of data monitored by utilizing the wireless sensor networks, such as temperature, humidity and mechanical vibration signals.

Description

Technical field [0001] The invention relates to the technical field of data compression, in particular to a data compression method for wireless sensor networks. Background technique [0002] With the advancement of technology and the development of technologies such as micro-electromechanical systems, integrated circuits, embedded and wireless communications, wireless sensor networks have been used in more and more fields. The wireless sensor network consists of a large number of self-organizing sensor network nodes. The nodes are generally composed of three modules: an acquisition module that uses sensors to monitor physical quantities in the real world, a communication module that performs wireless transmission with other nodes, and on-chip data processing and Managed computing module. Wireless sensor network nodes are generally supplied with energy from non-replaceable or rechargeable batteries. How to control energy consumption to extend the service life of nodes is a very ...

AI Technical Summary

Problems solved by technology

However, the lossless compression algorithms currently used in wireless sensor networks either have high computational complexity, or unsatisfactory compression rates, or are only applicable to certain specific data.

For example, a certain compression algorithm takes into account the computational complexity and compression rate for data that changes slowly, such as temperature data, but for other data that changes rapidly, such as mechanical vibration signals, the compression effect is not ideal, and even the data after compression may change. big case

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