M
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.
Papers
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Journal ArticleDOI
IEPSBP: A Cost-efficient Image Encryption Algorithm based on Parallel Chaotic System for Green IoT
TL;DR: A cost-efficient image encryption algorithm based on PSBP (named IEPSBP) is introduced which addresses the second challenge of precision limited and the security analysis and performance experiments indicate that it is secure and cost- efficient for green IoT.
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A survey on 5G/6G, AI, and Robotics
TL;DR: In this paper, Chen et al. summarize the current development of these two fields, and summarize the cross-research progress between them, and then discuss the bottleneck of the current developing of intelligent transportation system and point out the future research direction.
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Game Theory Based Opportunistic Computation Offloading in Cloud-Enabled IoV
TL;DR: A two-player Stackelberg-game-based opportunistic computation offloading scheme under situations involving complete and incomplete information that primarily considers task completion duration and service price is developed.
Proceedings ArticleDOI
BEC: A novel routing protocol for balanced energy consumption in Wireless Body Area Networks
Muhammad Moid Sahndhu,Nadeem Javaid,Muhammad Imran,Mohsen Guizani,Zahoor Ali Khan,Umar Qasim +5 more
TL;DR: A new routing protocol for Balanced Energy Consumption (BEC) in WBANs is proposed and results show that BEC achieves 49% increased network lifetime than OINL (On Increasing Network Lifetime) algorithm.
Journal ArticleDOI
Efficient Rule Engine for Smart Building Systems
TL;DR: This work designs an atomic event extraction module for extracting atomic event from data messages, and builds a β-network to acquire the atomic conditions for parsing the atomic trigger events, and constructs the minimal perfect hash table which can filter the majority of the unused atomic event with O(1) time overhead.