A multi-step time-series clustering-based Seq2Seq LSTM learning for a single household electricity load forecasting
The deep learning (DL) approaches in smart grid (SG) describes the possibility of shifting
the energy industry into a modern era of reliable and sustainable energy networks. This …
the energy industry into a modern era of reliable and sustainable energy networks. This …
A reinforcement learning based routing protocol for software-defined networking enabled wireless sensor network forest fire detection
Abstract Critical event reporting Wireless Sensor Networks (WSNs) applications need vital
requirements (extended network lifetime, reliability, real time responsiveness, and …
requirements (extended network lifetime, reliability, real time responsiveness, and …
Enhancing QoS and residual energy by using of grid-size clustering, K-means, and TSP algorithms with MDC in LEACH protocol
Some recent researches have shown that the energy consumption problem caused by data
collection in a wireless sensor network (WSN) based on a static data collector is a main …
collection in a wireless sensor network (WSN) based on a static data collector is a main …
Traffic prediction in SDN for explainable QoS using deep learning approach
G Wassie, J Ding, Y Wondie - Scientific Reports, 2023 - nature.com
The radical increase of multimedia applications such as voice over Internet protocol (VOIP),
image processing, and video-based applications require better quality of service (QoS) …
image processing, and video-based applications require better quality of service (QoS) …
Enhanced Network QoS in Large Scale and High Sensor Node Density Wireless Sensor Networks Using (IR-DV-Hop) localization algorithm and mobile data collector …
This paper poses new challenges, especially when designing routing protocols to improve
the quality of service (QoS) criteria and the lifetime of large-scale wireless sensor networks …
the quality of service (QoS) criteria and the lifetime of large-scale wireless sensor networks …
A Review on Routing Protocols in Mobile IoT Networks based on SDN
SV Panwar, H Boukabous - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
In mobile Internet of things (IoT) networks, SDN with routing protocols delivers a novel and
promising approach to these settings' dynamic and diversified issues. SDN principles and …
promising approach to these settings' dynamic and diversified issues. SDN principles and …
Regularized least square multi-hops localization algorithm for wireless sensor networks
Position awareness is very important for many sensor network applications. However, the
use of Global Positioning System receivers to every sensor node is very costly. Therefore …
use of Global Positioning System receivers to every sensor node is very costly. Therefore …
Data traffic based shape independent adaptive unequal clustering for heterogeneous wireless sensor networks
Due to the technological advancements in wireless communication and their continuously
increasing applications in collaborative and cooperative smart infrastructures, energy …
increasing applications in collaborative and cooperative smart infrastructures, energy …
Performance analysis of machine learning algorithms with clustering protocol in wireless sensor networks
In wireless sensor networks (WSN), machine learning (ML) algorithms have an important
role in cluster head (CH) selection according to several quality of service (QoS) metrics. This …
role in cluster head (CH) selection according to several quality of service (QoS) metrics. This …
EFTVG: An Energy Efficient Fuzzy–Timer Clustering Approach in an Adaptive Virtual Grid Cluster Based WSN
Clustering is an effective way that improves WSN lifetime. In this paper, unlike the other
approaches, an adaptive virtual grid is conducted to form cluster boundaries during a …
approaches, an adaptive virtual grid is conducted to form cluster boundaries during a …