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 …
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
Recent advances in hardware and communication technologies have accelerated the
deployment of billions of wireless sensors. This transformation has created a wide range of …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
of time duration is an NP-difficult problem, especially in large areas. The mathematical …