Ali Kadhum Idrees
Orcid: 0000-0001-9773-0066
According to our database1,
Ali Kadhum Idrees
authored at least 44 papers
between 2015 and 2024.
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Bibliography
2024
Clust. Comput., November, 2024
EDaTAD: Energy-Aware Data Transmission Approach with Decision-Making for Fog Computing-Based IoT Applications.
J. Netw. Syst. Manag., July, 2024
Energy-aware scheduling protocol-based hybrid metaheuristic technique to optimize the lifespan in WSNs.
J. Supercomput., June, 2024
Data reduction techniques for wireless multimedia sensor networks: a systematic literature review.
J. Supercomput., May, 2024
2023
A distributed prediction-compression-based mechanism for energy saving in IoT networks.
J. Supercomput., October, 2023
Ann. des Télécommunications, June, 2023
Efficient compression technique for reducing transmitted EEG data without loss in IoMT networks based on fog computing.
J. Supercomput., May, 2023
Energy-efficient two-layer data transmission reduction protocol in periodic sensor networks of IoTs.
Pers. Ubiquitous Comput., April, 2023
Erratum to: Energy-efficient multisensor adaptive sampling and aggregation for patient monitoring in edge computing based IoHT networks.
J. Ambient Intell. Smart Environ., 2023
Energy-efficient multisensor adaptive sampling and aggregation for patient monitoring in edge computing based IoHT networks.
J. Ambient Intell. Smart Environ., 2023
Int. J. Comput. Appl. Technol., 2023
Lossless EEG data compression using clustering and encoding for fog computing based IoMT networks.
Int. J. Comput. Appl. Technol., 2023
Distributed data reduction with decision-making for IoT-based smart farming irrigation systems.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
EEG Data reduction with Epileptic Seizure Detection based machine learning in IoMT Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
A Methodological Review on EEG Data Reduction in Edge/Fog computing-based IoMT networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
A Literature Review on Data Transmission Reduction Techniques for Wireless Multimedia Sensor Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Energy Saving in Wireless Video Sensor Networks using Online Data Transmission Reduction Scheme.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
2022
Energy-saving distributed monitoring-based firefly algorithm in wireless sensors networks.
J. Supercomput., 2022
Two-level energy-efficient data reduction strategies based on SAX-LZW and hierarchical clustering for minimizing the huge data conveyed on the internet of things networks.
J. Supercomput., 2022
Wrapper feature selection method based differential evolution and extreme learning machine for intrusion detection system.
Pattern Recognit., 2022
J. Ambient Intell. Humaniz. Comput., 2022
An Edge-Fog Computing-Enabled Lossless EEG Data Compression With Epileptic Seizure Detection in IoMT Networks.
IEEE Internet Things J., 2022
Distributed energy-efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks.
Int. J. Commun. Syst., 2022
Integrated encoding and scheduling protocol for improving the lifetime in wireless sensor networks.
Int. J. Comput. Appl. Technol., 2022
Sensor device scheduling-based cuckoo algorithm for enhancing lifetime of cluster-based wireless sensor networks.
Int. J. Comput. Appl. Technol., 2022
Maximizing the underwater wireless sensor networks' lifespan using BTC and MNP5 compression techniques.
Ann. des Télécommunications, 2022
Energy-efficient fog computing-enabled data transmission protocol in tactile internet-based applications.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
DaTOS: Data Transmission Optimization Scheme in Tactile Internet-based Fog Computing Applications.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022
2021
Energy-Saving Multisensor Data Sampling and Fusion with Decision-Making for Monitoring Health Risk Using WBSNs.
Softw. Pract. Exp., 2021
Energy-Efficient Data Transmission and Aggregation Protocol in Periodic Sensor Networks Based Fog Computing.
J. Netw. Syst. Manag., 2021
Distributed genetic algorithm for lifetime coverage optimisation in wireless sensor networks.
Int. J. Adv. Intell. Paradigms, 2021
2020
Adaptive rate energy-saving data collecting technique for health monitoring in wireless body sensor networks.
Int. J. Commun. Syst., 2020
Data gathering and aggregation with selective transmission technique to optimize the lifetime of Internet of Things networks.
Int. J. Commun. Syst., 2020
Data Reduction and Cleaning Approach for Energy-saving in Wireless Sensors Networks of IoT.
Proceedings of the 16th International Conference on Wireless and Mobile Computing, 2020
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
2019
Two level data aggregation protocol for prolonging lifetime of periodic sensor networks.
Wirel. Networks, 2019
Integrated Divide and Conquer with Enhanced k-means technique for Energy-saving Data Aggregation in Wireless Sensor Networks.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
2018
Multiround Distributed Lifetime Coverage Optimization protocol in wireless sensor networks.
J. Supercomput., 2018
Distributed Data Aggregation based Modified K-means technique for energy conservation in periodic wireless sensor networks.
Proceedings of the IEEE Middle East and North Africa Communications Conference, 2018
2017
Adaptive distributed energy-saving data gathering technique for wireless sensor networks.
Proceedings of the 13th IEEE International Conference on Wireless and Mobile Computing, 2017
2015
J. Supercomput., 2015