M
Mohammad Shojafar
Researcher at University of Surrey
Publications - 159
Citations - 5088
Mohammad Shojafar is an academic researcher from University of Surrey. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 32, co-authored 109 publications receiving 3709 citations. Previous affiliations of Mohammad Shojafar include University of Rome Tor Vergata & University of Modena and Reggio Emilia.
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Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services
TL;DR: An energy-efficient adaptive resource scheduler for Networked Fog Centers (NetFCs) that is capable to provide hard QoS guarantees, in terms of minimum/maximum instantaneous rates of the traffic delivered to the vehicular clients, instantaneous rate-jitters and total processing delays is proposed and tested.
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Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study
Enzo Baccarelli,Paola G. Vinueza Naranjo,Michele Scarpiniti,Mohammad Shojafar,Jemal H. Abawajy +4 more
TL;DR: It is pointed out that the integration of the FC and IoE paradigms may give rise to opportunities for new applications in the realms of the IoE, Smart City, Industry 4.0, and Big Data Streaming while introducing new open issues.
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Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications
TL;DR: This paper reviewed WBAN communication architecture, security and privacy requirements and security threats and the primary challenges in WBANs to these systems based on the latest standards and publications and covers the state-of-art security measures and research.
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Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city
TL;DR: This paper provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities, and presents a detailed discussion of several key factors for the convergence of Blockchain and AI technologies that will help form a sustainable smart society.
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P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks
TL;DR: A modified Stable Election Protocol (SEP), named Prolong-SEP (P- SEP) is presented to prolong the stable period of Fog-supported sensor networks by maintaining balanced energy consumption.