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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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Proceedings ArticleDOI

An Advanced Energy Consumption Model for terrestrial Wireless Sensor Networks

Ashfaq Ahmad, +4 more
TL;DR: An Advanced first order Energy Consumption Model (A-ECM) for terrestrial WSNs is presented which factors in essential energy guzzlers of wireless transmission and reception besides sensing and processing.
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Hadoop Perfect File: A fast and memory-efficient metadata access archive file to face small files problem in HDFS

Yanlong Zhai, +6 more
- 01 Oct 2021 - 
TL;DR: This work presents a new type of archive file, Hadoop Perfect File (HPF), to solve HDFS s small files problem by merging small files into a large file on HDFS.
Journal ArticleDOI

Privacy and incentive mechanisms in people-centric sensing networks

Daojing He, +2 more
- 09 Oct 2015 - 
TL;DR: The challenges on two important issues for a successful people-centric sensing system are identified, i.e., privacy and incentives, because if either there is no incentive to participate or participants' privacy is invaded, smartphone owners will be reluctant to participate.
Proceedings ArticleDOI

Peak shaving through optimal energy storage control for data centers

Mehiar Dabbagh, +3 more
TL;DR: This work presents an optimal peak shaving control strategy for a battery that has certain leakage and conversion losses and proposes an efficient battery control strategy when the authors only know predictions of the DC's power demands in a short duration in the future.
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A Fatigue Measuring Protocol for Wireless Body Area Sensor Networks

Sana Akram, +7 more
- 01 Dec 2015 - 
TL;DR: Simulation results show better performance of the proposed FAME protocol, in the chosen scenarios, as compared to an existing Wireless Soccer Team Monitoring (WSTM) protocol in terms of the selected metrics.