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Abusayeed Saifullah
Researcher at Wayne State University
Publications - 83
Citations - 4668
Abusayeed Saifullah is an academic researcher from Wayne State University. The author has contributed to research in topics: Wireless sensor network & Scheduling (computing). The author has an hindex of 26, co-authored 77 publications receiving 3358 citations. Previous affiliations of Abusayeed Saifullah include Missouri University of Science and Technology & University of Florida.
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Journal ArticleDOI
Industrial Internet of Things: Challenges, Opportunities, and Directions
TL;DR: The concepts of IoT, Industrial IoT, and Industry 4.0 are clarified and the challenges associated with the need of energy efficiency, real-time performance, coexistence, interoperability, and security and privacy are focused on.
Journal ArticleDOI
Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems
Chenyang Lu,Abusayeed Saifullah,Bo Li,Mo Sha,Humberto Gonzalez,Dolvara Gunatilaka,Chengjie Wu,Lanshun Nie,Yixin Chen +8 more
TL;DR: A series of recent advances in real-time WSANs for industrial control systems are reviewed, with a focus on cyber-physical codesign of wireless control systems that integrate wireless and control designs.
Proceedings ArticleDOI
Real-Time Scheduling for WirelessHART Networks
TL;DR: Extensive simulations based on both random topologies and real network topologies of a physical testbed demonstrate that C-LLF is highly effective in meeting end-to-end deadlines in WirelessHART networks, and significantly outperforms common real-time scheduling policies.
Journal ArticleDOI
An Internet of Things Framework for Smart Energy in Buildings: Designs, Prototype, and Experiments
TL;DR: An IoT framework with smart location-based automated and networked energy control, which uses smartphone platform and cloud-computing technologies to enable multiscale energy proportionality including building-, user-, and organizational-level energy proportionalities is proposed.
Proceedings ArticleDOI
Multi-core Real-Time Scheduling for Generalized Parallel Task Models
TL;DR: A new task decomposition method is proposed that decomposes each parallel task into a set of sequential tasks and achieves a resource augmentation bound of 2.62 when the decomposed tasks are scheduled using global EDF and partitioned deadline monotonic scheduling, respectively.