Distributed energy‐efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks-Reference-Cited by-同舟云学术

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Distributed energy‐efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks

Published:2022-06-28 Issue:15 Volume:35 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Communication

Author:

Hussein Ahmed Mohammed¹²,Idrees Ali Kadhum²^ORCID,Couturier Raphael³

Affiliation:

1. Department of Information Networks, College of Information Technology University of Babylon Babylon Iraq

2. Department of Computer Science University of Babylon Babylon Iraq

3. FEMTO‐ST Institute/CNRS Universite Bourgogne Franche‐Comte Belfort France

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.5282

Reference41 articles.

1. Data gathering and aggregation with selective transmission technique to optimize the lifetime of Internet of Things networks

2. New fog computing enabled lossless EEG data compression scheme in IoT networks

3. Al‐QurabatAKM IdreesAK Abou JaoudeC.Dictionary‐based dpcm method for compressing iot big data. In: 2020 International Wireless Communications and Mobile Computing (IWCMC) IEEE;2020:1290‐1295.

4. Al‐QurabatAKM Abou JaoudeC IdreesAK.Two tier data reduction technique for reducing data transmission in iot sensors. In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) IEEE;2019:168‐173.

5. Wireless Sensor Networks

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2. High-Quality and Energy-Efficient Sensory Data Collection for IoT Systems;Arabian Journal for Science and Engineering;2024-07-30

3. Low-Power Preprocessing System at MCU-Based Application Nodes for Reducing Data Transmission;Electronics;2024-07-25

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