M
Mohammad Reza Khosravi
Researcher at Persian Gulf University
Publications - 144
Citations - 2503
Mohammad Reza Khosravi is an academic researcher from Persian Gulf University. The author has contributed to research in topics: Computer science & Network packet. The author has an hindex of 15, co-authored 115 publications receiving 929 citations. Previous affiliations of Mohammad Reza Khosravi include Shiraz University of Technology & Shiraz University.
Papers
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Journal ArticleDOI
High-performance flow classification using hybrid clusters in software defined mobile edge computing
TL;DR: The hierarchical tree algorithm, which is a packet classification method, is parallelized using popular platforms on a cluster of Graphics Processing Units (GPUs), a clusters of Central processing Units (CPUs), and a hybrid cluster to increase the performance of the SDN-based MEC.
Proceedings ArticleDOI
A novel fake color scheme based on depth protection for MR passive/optical sensors
TL;DR: In this article, a modified pseudo-color scheme that uses fake colors to colorize the gray-scale images of satellite sensors taken by Landsat8 sensor is introduced, and the main feature of this method is the original image reversibility that satisfies good resolution of output images.
Journal ArticleDOI
Distributed random cooperation for VBF-based routing in high-speed dense underwater acoustic sensor networks
Mohammad Reza Khosravi,Mohammad Reza Khosravi,Hamid Basri,Hamid Basri,Habib Rostami,Sadegh Samadi +5 more
TL;DR: The approach is to use an intelligent 3-D random node removal mechanism considering traffic status of the network to improve energy consumption of the underwater acoustic wireless sensor networks.
Journal ArticleDOI
A secure data deduplication system for integrated cloud-edge networks
P. G. Shynu,R K Nadesh,Varun G. Menon,P Venu,Mahdi Abbasi,Mohammad Reza Khosravi,Mohammad Reza Khosravi +6 more
TL;DR: A new method using Convergent and Modified Elliptic Curve Cryptography algorithms over the cloud and fog environment to construct secure deduplication systems that can recognize data redundancy at the block level, reducing the redundancy of data more effectively.
Journal ArticleDOI
MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks
TL;DR: Three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, and simulation results confirm that the proposed multiple-input multiple-output and multiple- input single-output orthogonal chirp division multiplexing systems outperform the conventional multiple- Input multiple- inputs/multiple-input single-input orthogona frequency division multipleXing systems.