Internet of things: applications, adoptions and components-a conceptual overview
Internet of things (IoT) is a disruptive technology of technical, economic and social
consequence, where consumer durable goods, cars, utility components, sensors and other …
consequence, where consumer durable goods, cars, utility components, sensors and other …
Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions
F Saeik, M Avgeris, D Spatharakis, N Santi… - Computer Networks, 2021 - Elsevier
Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …
new and resource-voracious applications that can be offered to a large range of end users …
A deep learning approach for IoT traffic multi-classification in a smart-city scenario
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …
the IoT access networks is considerably stressed. This can create significant performance …
Distributed estimation approach for tracking a mobile target via formation of UAVs
M Doostmohammadian, A Taghieh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper considers distributed estimation methods to enable the formation of Unmanned-
Aerial-Vehicles (UAVs) that track a moving target. The UAVs (or agents) are equipped with …
Aerial-Vehicles (UAVs) that track a moving target. The UAVs (or agents) are equipped with …
Towards the cognitive factory in industry 5.0: From Concept to implementation
Industry 5.0 (I5. 0) represents a shift towards a human-centered industry and emphasizes
the integration of human and machine capabilities. A highly compatible concept for enabling …
the integration of human and machine capabilities. A highly compatible concept for enabling …
ENERDGE: Distributed energy-aware resource allocation at the edge
Mobile applications are progressively becoming more sophisticated and complex,
increasing their computational requirements. Traditional offloading approaches that use …
increasing their computational requirements. Traditional offloading approaches that use …
A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions
AA Baktayan, IA Al-Baltah - arXiv preprint arXiv:2208.10072, 2022 - arxiv.org
The Mobile Network Operator (MNO) must select how to delegate Mobile Device (MD)
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
Toward QoS prediction based on temporal transformers for IoT applications
Internet of Things (IoT) devices generate a tremendous amount of time series data that is
extremely dynamic, heterogeneous and time dependent. Such types of data introduce …
extremely dynamic, heterogeneous and time dependent. Such types of data introduce …
A deep learning approach for mobility-aware and energy-efficient resource allocation in MEC
Mobile Edge Computing (MEC) has emerged as an alternative to cloud computing to meet
the latency and Quality-of-Service (QoS) requirements of mobile devices. In this paper, we …
the latency and Quality-of-Service (QoS) requirements of mobile devices. In this paper, we …
Fast-convergent anytime-feasible dynamics for distributed allocation of resources over switching sparse networks with quantized communication links
M Doostmohammadian, A Aghasi… - 2022 European …, 2022 - ieeexplore.ieee.org
This paper proposes anytime feasible networked dynamics to solve resource allocation
problems over time-varying multi-agent networks. The state of agents represents the …
problems over time-varying multi-agent networks. The state of agents represents the …