Results 61 to 70 of about 26,223 (296)
Multiobjective Optimization for Computation Offloading in Fog Computing
IEEE Internet of Things Journal, 2018 Fog computing system is an emergent architecture for providing computing, storage, control, and networking capabilities for realizing Internet of Things. In the fog computing system, the mobile devices (MDs) can offload its data or computational expensive tasks to the fog node within its proximity, instead of distant cloud.
Liu, Liqing +5 more
openaire +1 more source
Citizen Engagement for Social and Technological Innovation in Sustainable Energy Systems
Advanced Energy and Sustainability Research, EarlyView.This study underscores the potential of citizen participation in the energy transition by providing insights to foster citizen‐driven innovation. An analysis of energy communities, one of the most dynamic innovations in the energy sector, reveals that these models can be citizen‐led initiatives regarding their operational and organizational structure ...
Ana Belén Cristóbal +3 more
wiley +1 more source
Joint Offloading Decision and Resource Allocation for Multiuser NOMA-MEC Systems
IEEE Access, 2019 Mobile edge computing (MEC) is becoming a promising paradigm to provide computing services for smart mobile devices (SMDs) via offloading computation-intensive tasks to MEC servers deployed at the network edge.
Wen'An Zhou +4 more
doaj +1 more source
Advanced Energy and Sustainability Research, EarlyView.This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley +1 more source
Joint Data compression and Computation offloading in Hierarchical Fog-Cloud Systems [PDF]
, 2019 Data compression has the potential to significantly improve the computation offloading performance in hierarchical fog-cloud systems. However, it remains unknown how to optimally determine the compression ratio jointly with the computation offloading ...
Ha, Vu Nguyen +3 more
core +1 more source
Optimal Resource Allocation in Ultra-low Power Fog-computing SWIPT-based Networks
, 2017 In this paper, we consider a fog computing system consisting of a multi-antenna access point (AP), an ultra-low power (ULP) single antenna device and a fog server.
Janatian, Nafiseh +2 more
core +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
ICT ExpressEdge computing has emerged as a promising paradigm for addressing the latency, bandwidth, and scalability challenges associated with traditional cloud-centric architectures.
Hoa Tran-Dang, Dong-Seong Kim
doaj +1 more source
IEEE Access, 2020 Mobile cloud computing has emerged as a promising paradigm to facilitate computation-intensive and delay-sensitive mobile applications. Computation offloading services at the edge mobile cloud environment are provided by small-scale cloud infrastructures
Shuang Lai +6 more
doaj +1 more source
Joint Computation Offloading and Prioritized Scheduling in Mobile Edge Computing [PDF]
, 2018 With the rapid development of smart phones, enormous amounts of data are generated and usually require intensive and real-time computation. Nevertheless, quality of service (QoS) is hardly to be met due to the tension between resourcelimited (battery ...
Gao, Lingfang
core +1 more source