Deployment optimization algorithms in wireless sensor networks for smart cities: A systematic mapping study

HM Abdulwahid, A Mishra - Sensors, 2022 - mdpi.com
In recent years, different types of monitoring systems have been designed for various
applications, in order to turn the urban environments into smart cities. Most of these systems …

A survey of artificial intelligence based wsns deployment techniques and related objectives modeling

K Zaimen, L Moalic, A Abouaissa, L Idoumghar - IEEE Access, 2022 - ieeexplore.ieee.org
Recent advances in hardware and communication technologies have accelerated the
deployment of billions of wireless sensors. This transformation has created a wide range of …

Area coverage optimization in three-dimensional wireless sensor network

R Priyadarshi, B Gupta - Wireless Personal Communications, 2021 - Springer
During the development of wireless sensor networks for smart cities, deployment of nodes in
three-dimensional space is important factor as data loss in such cases will be very critical …

A simulation model for forecasting covid-19 pandemic spread: Analytical results based on the current saudi Covid-19 data

AB Hassanat, S Mnasri, MA Aseeri, K Alhazmi… - Sustainability, 2021 - mdpi.com
The coronavirus pandemic (COVID-19) spreads worldwide during the first half of 2020. As is
the case for all countries, the Kingdom of Saudi Arabia (KSA), where the number of reported …

Optimum deployment of sensor nodes in wireless sensor network using hybrid fruit fly optimization algorithm and bat optimization algorithm for 3D Environment

SS Mohar, S Goyal, R Kaur - Peer-to-Peer Networking and Applications, 2022 - Springer
Deployment of sensor nodes in three dimensional areas with sufficient coverage of sensor
nodes is one of the major challenges in wireless sensor network. Coverage is main concern …

Magnetic force classifier: a Novel Method for Big Data classification

AB Hassanat, HN Ali, AS Tarawneh, M Alrashidi… - IEEE …, 2022 - ieeexplore.ieee.org
There are a plethora of invented classifiers in Machine learning literature, however, there is
no optimal classifier in terms of accuracy and time taken to build the trained model …

[Retracted] Recognition of Ziziphus lotus through Aerial Imaging and Deep Transfer Learning Approach

AB Tufail, I Ullah, R Khan, L Ali… - Mobile Information …, 2021 - Wiley Online Library
There is a growing demand for the detection of endangered plant species through machine
learning approaches. Ziziphus lotus is an endangered deciduous plant species in the …

Building decentralized fog computing-based smart parking systems: from deterministic propagation modeling to practical deployment

M Celaya-Echarri, I Froiz-Míguez, L Azpilicueta… - IEEE …, 2020 - ieeexplore.ieee.org
The traditional process of finding a vacant parking slot is often inefficient: it increases driving
time, traffic congestion, fuel consumption and exhaust emissions. To address such …

A comprehensive modeling of the discrete and dynamic problem of berth allocation in maritime terminals

S Mnasri, M Alrashidi - Electronics, 2021 - mdpi.com
In this study, the discrete and dynamic problem of berth allocation in maritime terminals, is
investigated. The suggested resolution method relies on a paradigm of optimization with two …

Partial paving strategy: application to optimize the area coverage problem in mobile wireless sensor networks

A Boualem, C De Runz, M Ayaida - Journal of Wireless Mobile …, 2022 - hal.science
Finding the minimum number of sensor nodes to ensure coverage of an area for a maximum
of time duration is an NP-difficult problem, especially in large areas. The mathematical …