[HTML][HTML] Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

Y Himeur, K Ghanem, A Alsalemi, F Bensaali, A Amira - Applied Energy, 2021 - Elsevier
Enormous amounts of data are being produced everyday by sub-meters and smart sensors
installed in residential buildings. If leveraged properly, that data could assist end-users …

IoT and big data applications in smart cities: recent advances, challenges, and critical issues

M Talebkhah, A Sali, M Marjani, M Gordan… - IEEE …, 2021 - ieeexplore.ieee.org
The notion of smart cities has remained under evolution as its global implementations are
challenged by numerous technological, economic, and governmental obstacles. Moreover …

Edge computing: current trends, research challenges and future directions

G Carvalho, B Cabral, V Pereira, J Bernardino - Computing, 2021 - Springer
The edge computing (EC) paradigm brings computation and storage to the edge of the
network where data is both consumed and produced. This variation is necessary to cope …

Intelligent computation offloading and resource allocation in IIoT with end-edge-cloud computing using NSGA-III

K Peng, H Huang, B Zhao, A Jolfaei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT), which consists of massive IoT devices and industrial
infrastructures such as wireless access points to acquire intelligent services, has been …

Classification of optimization problems in fog computing

J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

[HTML][HTML] Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Y Himeur, A Alsalemi, A Al-Kababji, F Bensaali… - Information …, 2020 - Elsevier
Recently, tremendous interest has been devoted to develop data fusion strategies for energy
efficiency in buildings, where various kinds of information can be processed. However …

Server placement in mobile cloud computing: A comprehensive survey for edge computing, fog computing and cloudlet

A Asghari, MK Sohrabi - Computer Science Review, 2024 - Elsevier
The growing technology of the fifth generation (5G) of mobile telecommunications has led to
the special attention of cloud service providers (CSPs) to mobile cloud computing (MCC) …

SecOFF-FCIoT: Machine learning based secure offloading in Fog-Cloud of things for smart city applications

AA Alli, MM Alam - Internet of Things, 2019 - Elsevier
Computation offloading is one of the important application in Internet of Things (IoT)
ecosystem. Computational offloading provides assisted means of processing large amounts …

Multi-objective computation offloading for internet of vehicles in cloud-edge computing

X Xu, R Gu, F Dai, L Qi, S Wan - Wireless Networks, 2020 - Springer
Abstract The Internet of Vehicles (IoV) has gained worldwide attentions as it provides the
service of collecting real-time traffic information to improve the road safety. The IoV users …

Task offloading in mobile fog computing by classification and regression tree

D Rahbari, M Nickray - Peer-to-Peer Networking and Applications, 2020 - Springer
Fog computing (FC) as an extension of cloud computing provides a lot of smart devices at
the network edge, which can store and process data near end users. Because FC reduces …