A survey on mobile charging techniques in wireless rechargeable sensor networks
The recent breakthrough in wireless power transfer (WPT) technology has empowered
wireless rechargeable sensor networks (WRSNs) by facilitating stable and continuous …
wireless rechargeable sensor networks (WRSNs) by facilitating stable and continuous …
[HTML][HTML] IoT based smart water quality monitoring system
V Lakshmikantha, A Hiriyannagowda… - Global Transitions …, 2021 - Elsevier
Pollution of water is one of the main threats in recent times as drinking water is getting
contaminated and polluted. The polluted water can cause various diseases to humans and …
contaminated and polluted. The polluted water can cause various diseases to humans and …
An iot-based design using accelerometers in animal behavior recognition systems
Cow behavior recognition systems support the assessment of cows' condition by providing
their behavior information. Accelerometers are particularly suited for a non-invasive solution …
their behavior information. Accelerometers are particularly suited for a non-invasive solution …
EDGF: Empirical dataset generation framework for wireless sensor networks
In wireless sensor networks (WSNs), simulation practices, system models, algorithms, and
protocols have been published worldwide based on the assumption of randomness. The …
protocols have been published worldwide based on the assumption of randomness. The …
Mobile crowd-sensing applications: Data redundancies, challenges, and solutions
TN Nguyen, S Zeadally - ACM Transactions on Internet Technology …, 2021 - dl.acm.org
Conventional data collection methods that use Wireless Sensor Networks (WSNs) suffer
from disadvantages such as deployment location limitation, geographical distance, as well …
from disadvantages such as deployment location limitation, geographical distance, as well …
Research on cloud computing adaptive task scheduling based on ant colony algorithm
H Liu - Optik, 2022 - Elsevier
In order to solve the shortcomings of ant colony algorithm in solving large-scale task
scheduling problems in cloud computing, the convergence speed is slow and easy to fall …
scheduling problems in cloud computing, the convergence speed is slow and easy to fall …
[HTML][HTML] Evaluating neural networks using Bi-Directional LSTM for network IDS (intrusion detection systems) in cyber security
TS Pooja, P Shrinivasacharya - Global Transitions Proceedings, 2021 - Elsevier
An Intrusion detection system is a fundamental layer incorporated in the network system.
Due to enormous amount of traffic in the Network, the attacker waits for the chance to cause …
Due to enormous amount of traffic in the Network, the attacker waits for the chance to cause …
Energy-efficient directional charging strategy for wireless rechargeable sensor networks
Mobile chargers (MCs) equipped with radio-frequency (RF)-based wireless power transfer
(WPT) modules have been suggested as a possible solution to battery constraints in …
(WPT) modules have been suggested as a possible solution to battery constraints in …
A low-cost real-time IoT human activity recognition system based on wearable sensor and the supervised learning algorithms
Activity recognition systems can detect human physical activities to support the assessment
of health conditions. Among approaches of activity recognition systems were researched …
of health conditions. Among approaches of activity recognition systems were researched …
3D localization and error minimization in underwater sensor networks
Wireless sensor networks (WSNs) consist of nodes distributed in the region of interest (ROI)
that forward collected data to the sink. The node's location plays a vital role in data …
that forward collected data to the sink. The node's location plays a vital role in data …