SDN-based dynamic resource management and scheduling for cognitive industrial IoT

S Chandramohan, M Senthilkumaran - International Journal of …, 2022 - emerald.com
Purpose In recent years, it is imperative to establish the structure of manufacturing industry
in the context of smart factory. Due to rising demand for exchange of information with various …

Task-Driven Approach for Deadline Based Scheduling Across Sensor Networks

P Sherubha, N Mohanasundaram… - … on Computing and …, 2020 - ieeexplore.ieee.org
Tremendous evolution towards cloud computing provides changing demands to work in
virtualized environment, ie applications such as Internet of Things (IoT), healthcare system …

Smart packet transmission scheduling in cognitive IoT systems: DDQN based approach

A Salh, L Audah, MA Alhartomi, KS Kim… - IEEe …, 2022 - ieeexplore.ieee.org
The convergence of Artificial Intelligence (AI) can overcome the complexity of network
defects and support a sustainable and green system. AI has been used in the Cognitive …

Artificial intelligence-based load optimization in cognitive Internet of Things

W Yao, F Khan, MA Jan, N Shah, I ur Rahman… - Neural Computing and …, 2020 - Springer
Abstract The Internet of Things (IoT) comprises smart objects capable of sensing,
processing, and transmitting application-specific data. These objects collect and transmit a …

Multi-task mapping and resource allocation mechanism in software defined sensor networks

L Chen, D Wu, Z Li - 2020 International conference on wireless …, 2020 - ieeexplore.ieee.org
Traditional wireless sensor network (WSN) is deployed based on specific task lacking of
flexibility and ability to process and compute multi-task in parallel, which usually leads to …

Optimal resource and task scheduling for IoT

A Prasanth, JA George… - … Conference on Innovation …, 2019 - ieeexplore.ieee.org
The internet of things, or IoT, is a system of interrelated computing devices through which it
is possible to transfer data over a network without the help of a human or computer …

Resource management and task scheduling for IoT using mobile edge computing

MT Quasim - Wireless Personal Communications, 2021 - Springer
The active field of research is to achieve fast answers with minimal energy usage in mobile
edge computing. The latest development of mobile edge computing (MEC) is a new model …

Adaptive resource allocation in SWIPT-enabled cognitive IoT networks

W Sun, Q Song, J Zhao, L Guo… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Integrating simultaneous wireless information and power transfer (SWIPT) and cognitive
radio (CR) technologies into Internet-of-Things (IoT) networks, named SWIPT-enabled …

Adaptive computing optimization for industrial IoT using SDN with edge computing

S Chandramohan, M Senthilkumaran… - 2022 6th International …, 2022 - ieeexplore.ieee.org
In recent years, the rapid growth of industrial Internet of Things (IIoT) introduces the concept
of the smart industry under industry 4.0, smart logistics and, smart grid. In the context of …

Fuzzy based priority aware scheduling technique for dense industrial IoT networks

S Kharb, A Singhrova - Journal of Network and Computer Applications, 2019 - Elsevier
Smart manufacturing is the next industrial revolution. The requirements from the
manufacturing sector, and more generally, the Industrial Internet of Things (IIoT) has been …