Security networks as one of the biggest issue for network managers with the exponential growth of devices connected to the internet. Keeping a big and diverse network running …
In this paper, we propose an energy-aware routing algorithm and a control overhead reduction technique for prolonging the network lifetime of software-defined multihop wireless …
Wireless Sensor Network (WSN), which are enablers of the Internet of Things (IoT) technology, are typically used en-masse in widely physically distributed applications to …
T Theodorou, L Mamatas - IEEE internet of things journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) brings new potentials in humans' everyday life activities through enabling applications with stringent communication demands, including mobile IoT …
SM Alqaraghuli, O Karan - … Journal of Artificial …, 2024 - journals.mesopotamian.press
This paper discusses the significance of Wireless Sensor Networks (WSNs) in collecting critical data from various environments, highlighting the challenges presented by the limited …
V VM, MP - Cyber-Physical Systems, 2023 - Taylor & Francis
ABSTRACT Software-Defined Networking (SDN) and Edge computing are the major elements due to its scalability, flexibility and efficiency. Still, security is one of the significant …
Z Geng, W Xia, W Cao, T Wu, F Yan… - 2021 13th …, 2021 - ieeexplore.ieee.org
Software Defined Wireless Sensor Network (SD-WSN) is a new type of sensor network that combines SDN and WSN, which has rapidly emerged in recent years. However, the energy …
M Huang, B Gong, X Zhou, T Wang… - Transactions on …, 2023 - Wiley Online Library
With the rapid development of the Internet of Things (IoT) and the popularity of the software‐ defined idea, the software‐defined Internet of Things (SD‐IoT) came into being. However …
R Shrivastav, S Karmore - International Journal of Electrical …, 2023 - ijeer.forexjournal.co.in
Performance of dense wireless sensor networks is often degraded due to communication interference and time synchronization issues. Existing machine learning & deep learning …