Data compression iot

  • What is compression in IoT?

    Also, these devices are limited with resources.In order to make the IoT network more efficient, there is a need to compress the data to reduce the energy to process the data, reduce the demanded storage to store it and to minimize the energy required to transmit the data..

The data compression feature is implemented based on the topics that are used for communication between IoT Platform and devices. IoT Platform automatically compresses and decompresses the data of topics. User-side business systems do not need to obtain the details of the process.
The data compression feature is implemented based on the topics that are used for communication between IoT Platform and devices. IoT Platform automatically compresses and decompresses the data of topics. User-side business systems do not need to obtain the details of the process.
This article presents a systematic review of the literature on lossy data compression algorithms that allows the systems to reduce the data detected by IoT 

How can sensor data compression be improved?

Different sensor data compression methods are one solution to improve this situation.
It is possible to compress the raw sensor data in the sensor node, thus reducing the amount of data required to transmit via wireless connection ( Săcăleanu et al., 2018 ).

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Transmission/Processing Time

A significant benefit of data compression is that it reduces the time required to transfer data to the gateway.
This section compares the time needed for uncompressed data transmission against the time needed for compressed data transmission.
To accomplish this, the ESP Wroom 32 was used to generate the Mackay-Glass time series, and the time requir.

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What is lossless / lossy compression in IoT sensors?

In this article, we assume that classification into lossless or lossy compression should be the starting point for the study of DC techniques in the context of data generated by IoT sensors.
Lossless algorithms are those capable of reconstructing a signal exactly in the form of its original representation.

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Why do we need a data compression technique in the IoT?

Reducing the data size reduces the energy required to process this data, minimizes the storage of this, data and the energy required to transmit this data.
The need for applying data compression techniques on these devices will come in handy.
This paper provides a survey and a comparative study among most commonly used IoT compression techniques.


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