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Mohsen Guizani

Researcher at Qatar University

Publications -  1337
Citations -  48275

Mohsen Guizani is an academic researcher from Qatar University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 79, co-authored 1110 publications receiving 31282 citations. Previous affiliations of Mohsen Guizani include Jaypee Institute of Information Technology & University College for Women.

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Efficient Virtual Network Embedding With Backtrack Avoidance for Dynamic Wireless Networks

TL;DR: This work analytically and empirically verify that Bird-VNE outperforms existing VNE algorithms with respect to computational efficiency, closeness to optimality, and its ability to avoid potential migrations in mobile wireless networks.
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A Lightweight Privacy-Aware IoT-Based Metering Scheme for Smart Industrial Ecosystems

TL;DR: A symmetric encryption scheme for industrial ecosystems in the Internet of Thing (IoT) environment is proposed and the performance evaluation and security analysis demonstrate successful user privacy and integrity with lower computational resources and communication overhead.
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A Probabilistic Source Location Privacy Protection Scheme in Wireless Sensor Networks

TL;DR: A probabilistic source location privacy (PSLP) protection scheme for WSNs is proposed and results demonstrate that the proposed PSLP scheme improves the safety time without compromising the energy consumption.
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Design of next-generation cdma using orthogonal complementary codes and offset stacked spreading

TL;DR: This article presents an innovative code-division multiple access system architecture that is based on orthogonal complementary spreading codes and time-frequency domain spreading that offers multiple-access-interference-free operation in AWGN channels, reduces co-channel interference significantly, and has the potential for higher capacity and spectral efficiency than conventional CDMA systems.
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Performance Modeling of Representative Load Sharing Schemes for Clustered Servers in Multiaccess Edge Computing

TL;DR: This paper develops computationally efficient analytical models and compares three load sharing schemes, namely, no sharing, random sharing, and least loaded sharing, which exploit the collaboration between clustered servers in different degrees and shows that the leastloaded sharing scheme is most suitable to fully exploit the collaborated servers and achieve load balance among them.