Coverage and connectivity in WSNs: A survey, research issues and challenges

A Tripathi, HP Gupta, T Dutta, R Mishra… - IEEE …, 2018 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) consist of several battery powered sensor nodes. The
sensing coverage of the Field of Interest (FoI) is an important function of the sensor nodes in …

Coverage, deployment and localization challenges in wireless sensor networks based on artificial intelligence techniques: a review

W Osamy, AM Khedr, A Salim, AI Al Ali… - IEEE Access, 2022 - ieeexplore.ieee.org
The growing importance and widespread adoption of Wireless Sensor Network (WSN)
technologies have helped the enhancement of smart environments in various fields such as …

Deployment techniques in wireless sensor networks, coverage and connectivity: A survey

M Farsi, MA Elhosseini, M Badawy, HA Ali… - Ieee …, 2019 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) have gained wide attention from researchers in the last
few years because it has a vital role in countless applications. The main function of WSN is …

Tuning of digital PID controllers using particle swarm optimization algorithm for a CAN-based DC motor subject to stochastic delays

Z Qi, Q Shi, H Zhang - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
In this article, we investigate the tuning problem of digital proportional-integral-derivative
(PID) parameters for a dc motor controlled via the controller area network (CAN). First, the …

From ants to whales: metaheuristics for all tastes

F Fausto, A Reyna-Orta, E Cuevas, ÁG Andrade… - Artificial Intelligence …, 2020 - Springer
Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

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 …

A novel coverage optimization strategy for heterogeneous wireless sensor networks based on connectivity and reliability

L Cao, Y Yue, Y Cai, Y Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
To overcome the problems of coverage blind areas and coverage redundancy when sensor
nodes are deployed randomly in heterogeneous wireless sensor networks (HWSNs). An …

An improved dynamic deployment technique based-on genetic algorithm (IDDT-GA) for maximizing coverage in wireless sensor networks

H ZainEldin, M Badawy, M Elhosseini, H Arafat… - Journal of Ambient …, 2020 - Springer
Recently, many researchers have paid attention to wireless sensor networks (WSNs) due to
their ability to encourage the innovation of the IT industry. Although WSN provides …

3-D deployment optimization for heterogeneous wireless directional sensor networks on smart city

B Cao, J Zhao, P Yang, P Yang, X Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The development of smart cities and the emergence of three-dimensional (3-D) urban terrain
data have introduced new requirements and issues to the research on the 3-D deployment …

Improved whale optimization algorithm and its application in heterogeneous wireless sensor networks

Y Yue, H You, S Wang, L Cao - International Journal of …, 2021 - journals.sagepub.com
Aiming at the problems of node redundancy and network cost increase in heterogeneous
wireless sensor networks, this article proposes an improved whale optimization algorithm …