Joint transmit and reflective beamformer design for secure estimation in IRS-aided WSNs
Wireless sensor networks (WSNs) are vulnerable to eavesdropping as the sensor nodes
(SNs) communicate over an open radio channel. Intelligent reflecting surface (IRS) …
(SNs) communicate over an open radio channel. Intelligent reflecting surface (IRS) …
A novel link-based multi-objective grey wolf optimizer for appliances energy scheduling problem
In this paper, a modified version of the Multi-objective Grey Wolf Optimizer (MGWO), known
as linked-based GWO (LMGWO), is proposed for the Appliances Energy Scheduling …
as linked-based GWO (LMGWO), is proposed for the Appliances Energy Scheduling …
Augmented grasshopper optimization algorithm by differential evolution: A power scheduling application in smart homes
With the increasing number of electricity consumers, production, distribution, and
consumption problems of produced energy have appeared. This paper proposed an …
consumption problems of produced energy have appeared. This paper proposed an …
ICIC: A dual mode intra-cluster and inter-cluster energy minimization approach for multihop WSN
Energy minimization is one of the paramount issues in designing of the wireless sensor
network and becomes more complex for multi-hop transmission. Furthermore, selection of …
network and becomes more complex for multi-hop transmission. Furthermore, selection of …
Full-duplex massive MIMO multi-pair two-way AF relaying: Energy efficiency optimization
We consider two-way amplify-and-forward relaying, where multiple full-duplex user pairs
exchange information via a shared full-duplex massive multiple-input multiple-output (MIMO) …
exchange information via a shared full-duplex massive multiple-input multiple-output (MIMO) …
A grid-based reliable multi-hop routing protocol for energy-efficient wireless sensor networks
Z Chen, H Shen - International Journal of Distributed Sensor …, 2018 - journals.sagepub.com
Due to the limited energy and the non-equivalence of wireless sensor network nodes, it is
imperative to reduce and rationally use the energy consumption of the nodes to prolong the …
imperative to reduce and rationally use the energy consumption of the nodes to prolong the …
Deep-Learning-Aided Packet Routing in Aeronautical Ad Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multiobjective …
Data packet routing in aeronautical ad hoc networks (AANETs) is challenging due to their
high-dynamic topology. In this article, we invoke deep learning (DL) to assist routing in …
high-dynamic topology. In this article, we invoke deep learning (DL) to assist routing in …
An energy-efficient edge computing framework for decentralized sensing in WSN-assisted IoT
This paper addresses the problem of decentralized sensor selection in an energy-
constrained wireless sensor network-based Internet-of-Things, for monitoring a spatio …
constrained wireless sensor network-based Internet-of-Things, for monitoring a spatio …
RETRACTED ARTICLE: Grid quorum-based spatial coverage for IoT smart agriculture monitoring using enhanced multi-verse optimizer
M Abdel-Basset, LA Shawky, K Eldrandaly - Neural Computing and …, 2020 - Springer
Wireless sensor networks (WSN) are the backbone in various modern Internet of Things
(IoT) smart applications ranging from automated control, surveillance, forest fire detection …
(IoT) smart applications ranging from automated control, surveillance, forest fire detection …
Energy efficient clustering for dense wireless sensor network by applying Graph Neural Networks with coverage metrics
Wireless sensor networks (WSNs) have become increasingly important in recent years due
to their ability to monitor and collect data in various environments. However, WSNs often …
to their ability to monitor and collect data in various environments. However, WSNs often …