دسته بندی:

اینترنت اشیاء - Internet of Things

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سال انتشار:

2022

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عنوان انگلیسی مقاله:

Lossy Data Compression for IoT Sensors: A Review

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ترجمه فارسی عنوان مقاله:

فشرده سازی داده های از دست رفته برای حسگرهای اینترنت اشیا: مرور

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منبع:

ScienceDirect- Elsevier- Internet of Things, 19 (2022) 100516: doi:10:1016/j:iot:2022:100516

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نویسنده:

Juan David Arias Correa

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چکیده انگلیسی:

Internet of Things (IoT) can be considered a suitable platform for industrial applications, enabling large systems that connect a huge number of intelligent sensors and subsequent data collection for analytical applications. This factor is responsible for the substantial increase in the current volume of data generated by IoT devices. The large volume of data generated by IoT sensors can lead to unusual demands on cloud storage and data transmission bandwidths. A suitable approach to address these issues is through data compression approaches. 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 devices. Lossy algorithms have a good compression ratio, preserving data quality and minimizing compression errors. A taxonomy was proposed from the review results, and the main works were classified, analyzed, and discussed.
keywords: فشرده سازی داده ها | اینترنت اشیا IOT | از بین رفتن در فشرده سازی | حسگرها | Data compression | IoT Internet of things | Lossy compression | Sensors

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قیمت: رایگان

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توضیحات اضافی:

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