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Mohammad S. Obaidat
University of Jordan
777Publications
30H-index
4,771Citations
Publications 777
Newest
Wided Ben Daoud (University of Sfax), Mohammad S. Obaidat (NU: Nazarbayev University)+ 2 AuthorsKuei-Fang Hsiao4
Estimated H-index: 4
(MCU: Ming Chuan University)
Fog computing network is designed as an extension of the cloud due to the need for a supporting platform capable of ensuring the requirements of Internet of Thing (IoT). The growth of fog based fifth generation mobile communication (5G) system is challenged by the need for data sharing security. In fact, without properly securing access to Fog node resources in IoT network, services providers may not be able to achieve the desired performance. Indeed, fog computing obviously confront numerous se...
Published on Jan 1, 2018in IEEE Systems Journal4.46
Sherin Hijazi1
Estimated H-index: 1
,
Mohammad S. Obaidat30
Estimated H-index: 30
Published on Jan 1, 2018in IEEE Systems Journal4.46
Yu Guo1
Estimated H-index: 1
,
Zhenqiang Mi2
Estimated H-index: 2
+ 1 AuthorsMohammad S. Obaidat30
Estimated H-index: 30
Published on Jan 1, 2018in IEEE Transactions on Mobile Computing4.47
Samaresh Bera9
Estimated H-index: 9
,
Sudip Misra33
Estimated H-index: 33
,
Mohammad S. Obaidat30
Estimated H-index: 30
In this paper, we propose a mobility-aware adaptive flow-rule placement scheme, named as Mobi-Flow, with an aim to maximize the overall performance in a software-defined access network (SDAN). The proposed scheme consists of two components — path estimator and flow-manager. The path estimator predicts future locations of end-users present in the network, depending on their history location sets, and delivers the predicted locations to the flow-manager. We use the order-k Markov predictor to pred...
Published on Jul 16, 2019in International Journal of Communication Systems1.28
Yu Guo1
Estimated H-index: 1
(USTB: University of Science and Technology Beijing),
Zhenqiang Mi2
Estimated H-index: 2
(USTB: University of Science and Technology Beijing)
+ 2 AuthorsMohammad S. Obaidat30
Estimated H-index: 30
(NU: Nazarbayev University)
Published on Jun 1, 2019
Yu Guo1
Estimated H-index: 1
(USTB: University of Science and Technology Beijing),
Yun Zhang1
Estimated H-index: 1
(USTB: University of Science and Technology Beijing)
+ 2 AuthorsMohammad S. Obaidat1
Estimated H-index: 1
(NU: Nazarbayev University)
Abstract Proper allocation of tasks between actors is one of the critical issues for Wireless Sensor and Actor Networks (WSANs), which can improve the execution efficiency of the network, prolong the network life and so on. Traditional task allocation algorithms assume that the underlying network of the wireless systems are always connected, thus the only thing they should consider is how to improve the performance of task allocation. However, due to the movements of the actors, the assumption i...
Published on Jan 1, 2018in IEEE Systems Journal4.46
Weigang Hou14
Estimated H-index: 14
(NU: Northeastern University),
Zhaolong Ning13
Estimated H-index: 13
(DUT: Dalian University of Technology)
+ 1 AuthorsMohammad S. Obaidat30
Estimated H-index: 30
(UJ: University of Jordan)
A large-scale distributed scientific computing develops rapidly, making the interconnection of data centers (DCs) become the focus in both academic and industrial communities. Since the fiber transmission has the characteristics of high capacity, low power consumption, and strong reliability, establishing the optical data center network (ODCN)—where DCs are interconnected via optical backbone—is an inevitable trend. In ODCNs, the oversize inter-DC traffic demand suffers from the denial-of-servic...
Published on Jun 1, 2019in IEEE Wireless Communications11.00
Aparna Kumari2
Estimated H-index: 2
,
Sudeep Tanwar6
Estimated H-index: 6
+ 3 AuthorsJoel J. P. C. Rodrigues36
Estimated H-index: 36
Currently, the demand for electricity is increasing day by day, which necessitates upgrading of the existing power grid system. The conventional power grid has already been replaced with modern ICT-based infrastructure, which is known as smart grid (SG). In SG, smart meters generate a huge amount of data, and it is a challenging task to store, process, and analyze the data, which varies with respect to volume, velocity, and variety. The data generated in an SG system is generally stored and anal...
Published on Jan 1, 2018in IEEE Internet of Things Journal9.52
Anandarup Mukherjee3
Estimated H-index: 3
,
Sudip Misra33
Estimated H-index: 33
+ 1 AuthorsMohammad S. Obaidat30
Estimated H-index: 30
This paper looks into the problem of a decentralized data offloading within an edge unmanned aerial vehicle (UAV) swarm to mitigate the complexities of a single UAV continually generating and processing large application-specific data. The mobile edge UAVs considered here are multirotor types having constrained energy and processing power, which makes long-term handling of large data volumes impossible for standalone UAVs. The load mitigation is carried out by offloading data from a source UAV t...
Published on May 10, 2019in International Journal of Communication Systems1.28
Guowei Wu16
Estimated H-index: 16
(DUT: Dalian University of Technology),
Jinlei Wang (DUT: Dalian University of Technology)+ 2 AuthorsKuei-Fang Hsiao4
Estimated H-index: 4
(MCU: Ming Chuan University)
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