On the interest of Artificial Intelligence approaches in solving the IoT coverage problem

S Mnasri, M Alghamdi - Ad Hoc Networks, 2023 - Elsevier
This survey deals with the 3D indoor deployment in IoT collection networks to identify the
right locations of the IoT connected objects and, subsequently, to manage the coverage …

IoT networks 3D deployment using hybrid many-objective optimization algorithms

S Mnasri, N Nasri, M Alrashidi, A Van den Bossche… - Journal of …, 2020 - Springer
When resolving many-objective problems, multi-objective optimization algorithms encounter
several difficulties degrading their performances. These difficulties may concern the …

Distributed approach for the indoor deployment of wireless connected objects by the hybridization of the Voronoi diagram and the Genetic Algorithm

W Abdallah, S Mnasri, T Val - arXiv preprint arXiv:2202.13735, 2022 - arxiv.org
IoT data collection networks have recently become one of the important research areas due
to their fundamental role and wide application in many domains. The establishment of …

Genetic-Voronoi algorithm for coverage of IoT data collection networks

W Abdallah, T Val - 2020 30th International Conference on …, 2020 - ieeexplore.ieee.org
IoT data collection networks, formerly known as wireless sensor networks, have become one
of the most active areas of research in the field of information technology. The deployment of …

3D indoor redeployment in IoT collection networks: A real prototyping using a hybrid PI-NSGA-III-VF

S Mnasri, N Nasri, A Van Den Bossche… - … & Mobile Computing …, 2018 - ieeexplore.ieee.org
The 3D indoor redeployment of connected objects in IoT collection networks is a complex
problem that influences the overall performance of the network. In this paper, we aim to …

Area coverage strategy in IoT networks based on redeployment, descriptive statistics, correlation and regression parameters

A Boualem, C De Runz, M Ayaida - SN Computer Science, 2022 - Springer
Both minimal set cover and maximum coverage are known to be NP-Hard when using
homogeneous and heterogeneous wireless sensor networks due to the lack of knowledge of …

A comparative analysis with validation of NSGA-III and MOEA/D in resolving the 3D indoor redeployment problem in DL-IoT

S Mnasri, N Nasri… - … Conference on Internet …, 2017 - ieeexplore.ieee.org
Compared to the two-dimensional one, the three-dimensional deployment in WSNs
(wireless sensor networks) is more complex and real. In this paper, the problem of 3D …

Multi-metric optimization with a new metaheuristic approach developed for 3D deployment of multiple drone-BSs

R Ozdag - Peer-to-Peer Networking and Applications, 2022 - Springer
Abstract The use of Unmanned Aerial Vehicles (UAVs) as mobile Base Stations (BSs) in
wireless communication has been claimed to be an effective technique for services planned …

An efficient 3-D positioning approach to minimize required UAVs for IoT network coverage

Z Rahimi, MJ Sobouti, R Ghanbari… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Using unmanned aerial vehicles (UAVs) to cover users in wireless networks has increased
in recent years. Deploying UAVs in appropriate positions is important to cover users and …

Maximizing coverage and maintaining connectivity in WSN and decentralized IoT: an efficient metaheuristic-based method for environment-aware node deployment

S Nematzadeh, M Torkamanian-Afshar… - Neural Computing and …, 2023 - Springer
The node deployment problem is a non-deterministic polynomial time (NP-hard). This study
proposes a new and efficient method to solve this problem without the need for predefined …