Deep learning for IoT big data and streaming analytics: A survey

M Mohammadi, A Al-Fuqaha, S Sorour… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …

IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions

M Tavana, V Hajipour, S Oveisi - Internet of Things, 2020 - Elsevier
In today's highly competitive markets, organizations can create a competitive advantage
through the successful implementation of Enterprise Resource Planning (ERP) systems …

Mobile-edge computation offloading for ultradense IoT networks

H Guo, J Liu, J Zhang, W Sun… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of massive Internet of Things (IoT) mobile devices (MDs) and the
deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT …

Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection

A Mourad, H Tout, OA Wahab, H Otrok… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Internet of Vehicles and vehicular networks have been compelling targets for malicious
security attacks where several intrusion detection solutions have been proposed for …

Energy-aware computation offloading and transmit power allocation in ultradense IoT networks

H Guo, J Zhang, J Liu, H Zhang - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
To meet the surging demands on network throughput and spectrum resources arising with
billions of Internet-of-Things mobile devices (IMDs), ultradense networks are envisioned to …

FoGMatch: An intelligent multi-criteria IoT-fog scheduling approach using game theory

S Arisdakessian, OA Wahab, A Mourad… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Cloud computing has long been the main backbone that Internet of Things (IoT) devices rely
on to accommodate their storage and analytical needs. However, the fact that cloud systems …

AuctionWhisk: Using an auction‐inspired approach for function placement in serverless fog platforms

D Bermbach, J Bader, J Hasenburg… - Software: Practice …, 2022 - Wiley Online Library
Abstract The Function‐as‐a‐Service (FaaS) paradigm has a lot of potential as a computing
model for fog environments comprising both cloud and edge nodes, as compute requests …

Stable federated fog formation: An evolutionary game theoretical approach

A Hammoud, H Otrok, A Mourad, Z Dziong - Future Generation Computer …, 2021 - Elsevier
Instability within fog federations is considered as a serious problem that degrades the
performance of the provided services. The latter may affect the service availability due to fog …

Internet of Things for smart manufacturing system: Trust issues in resource allocation

S Jeong, W Na, J Kim, S Cho - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
In industrial Internet of Things (IIoT) applications for smart manufacturing system, efficient
allocation of the carrier and computing resources is crucial. However, existing resource …

QoS‐aware IoT networks and protocols: A comprehensive survey

S Dilek, K Irgan, M Guzel, S Ozdemir… - International Journal …, 2022 - Wiley Online Library
The vast number of smart cloud applications that communicate with the “things” over a
variety of physical networks and communication protocols contribute to the rise of complexity …