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Energy Efficient Data Compression in Cloud Based IoT
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DOI：10.1109/JSEN.2021.3064611.png)
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Abstract
En 中文
In this study, an adaptive data compression scheme (ADCS) is proposed for efficiently controlling the IoT device compression rate and energy consumption in the cloud based IoT network. The ADCS consists of two data compression schemes, the sensor Lempel-Ziv-Welch (S-LZW) scheme and the sequential lossless entropy compression (S-LEC) scheme. In Auto state, the ADCS can select the appropriate energy efficient data compression scheme for each IoT device, while taking into consideration the IoT device's processing capability, the available energy in each IoT device battery, and the amount of compression power. Our proposed scheme has been developed using mixed integer linear programming. The result verifies that the proposed ADCS scheme saves power by an average of 40% compared to the non-compression scheme (NCS) due to reducing the traffic load and the number of hops in the network, which leads to an ability to handle higher traffic demands and increasing the lifetime of IoT devices by 50% compared to NCS systems.
Keywords:
Data compression
Energy efficiency
Sensors
Wireless sensor networks
Power demand
Data models
Cloud computing
Adaptive data compression scheme
energy efficiency
Internet of things
lossless compression
wireless sensor networks
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