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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 …
[HTML][HTML] A novel evolutionary solution approach for many-objective reliability-redundancy allocation problem based on objective prioritization and constraint …
The reliability redundancy allocation problem (RRAP) has been mostly solved either as a
single or as a multi-objective optimization problem. However, this problem also has …
single or as a multi-objective optimization problem. However, this problem also has …
Emergent IoT wireless technologies beyond the year 2020: A comprehensive comparative analysis
Low-power wide area networks (LPWANs) has recently emerged as a popular long-range
and low-speed radio communication technology as a result of the important growth of the …
and low-speed radio communication technology as a result of the important growth of the …
Optimization of hydrogen sensor placement for hydrogen leakage monitoring in the fuel cell truck
S Liu, R He - Journal of the Brazilian Society of Mechanical Sciences …, 2023 - Springer
Hydrogen safety is one of the most important issues for fuel cell vehicles due to the leakage
and wide flammability of hydrogen. It is essential to detect the hydrogen leak to support …
and wide flammability of hydrogen. It is essential to detect the hydrogen leak to support …
Evolutionary algorithms for coverage and connectivity problems in wireless sensor networks: a study
Coverage and connectivity play a vital role in the performance and proper functioning of
wireless sensor networks (WSNs). Proper deployment of the sensor nodes has strong …
wireless sensor networks (WSNs). Proper deployment of the sensor nodes has strong …
Volterra filter modelling of non-linear system using Artificial Electric Field algorithm assisted Kalman filter and its experimental evaluation
The main objective of this paper is to improve the identification efficiency of non-linear
systems using the Kalman filter (KF), which is optimised with the Artificial Electric Field (AEF) …
systems using the Kalman filter (KF), which is optimised with the Artificial Electric Field (AEF) …
Three-dimensional internet-of-things deployment with optimal management service benefits for smart tourism services in forest recreation parks
In a large-scale national forest recreation park, it is difficult for park managers to maintain
facilities and provide timely or emergency services to visitors in need (eg, elderly adults …
facilities and provide timely or emergency services to visitors in need (eg, elderly adults …
Node deployment in wireless sensor networks using the new multi‐objective Levy flight bee algorithm
Wireless sensor networks (WSNs) play a prominent role in the world of computer networks.
WSNs rely on deployment as a basic requirement and an effective factor on the basic …
WSNs rely on deployment as a basic requirement and an effective factor on the basic …
A many-objective optimization algorithm with mutation strategy based on variable classification and elite individual
The current many-objective evolutionary algorithms (MaOEAs) generally adopt the mutation
strategies designed for single-objective optimization problems directly. However, these …
strategies designed for single-objective optimization problems directly. However, these …
FMPSO: fuzzy-dominance based many-objective particle swarm optimization
The performance of multiobjective evolutionary algorithms, based on Pareto-dominance,
deteriorates when applied to many-objective problems which are the problems having …
deteriorates when applied to many-objective problems which are the problems having …