Energy-efficient routing in wireless sensor networks: a meta-heuristic and artificial intelligence-based approach: a comprehensive review
R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …
At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications
The advancement of the Internet of Things (IoT) technologies will play a significant role in
the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one …
the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one …
An Enhanced Energy Optimization Model for Industrial Wireless Sensor Networks Using Machine Learning
Industrial Wireless Sensor Networks (WSNs) are becoming increasingly popular due to their
enhanced scalability and low cost of deployment. However, they also present new …
enhanced scalability and low cost of deployment. However, they also present new …
CHOP: Maximum coverage optimization and resolve hole healing problem using sleep and wake-up technique for WSN
The sensor network domains such as industry, defense, research Wireless Sensor Network
(WSN) is widely used nowadays. The sensor networks are randomly deployed in the …
(WSN) is widely used nowadays. The sensor networks are randomly deployed in the …
Towards developing a machine learning-metaheuristic-enhanced energy-sensitive routing framework for the internet of things
The heterogeneous nature, communication constraints, multi-hop data transmissions, and
inherent challenges of wireless connections have caused routing and data transmission …
inherent challenges of wireless connections have caused routing and data transmission …
Optimized pollard route deviation and route selection using Bayesian machine learning techniques in wireless sensor networks
Optimal route selection and circumventing the route deviation is essential in sensor
transmission to reach the destination properly and to save energy in sensors. Wireless …
transmission to reach the destination properly and to save energy in sensors. Wireless …
[HTML][HTML] Enhanced fuzzy logic zone stable election protocol for cluster head election (E-FLZSEPFCH) and multipath routing in wireless sensor networks
Abstract A Wireless Sensor Network (WSN) is a system of sensor nodes that communicate
with one another and with their surroundings. Wireless sensor nodes are now used as the …
with one another and with their surroundings. Wireless sensor nodes are now used as the …
Ai-based resource allocation techniques in wireless sensor internet of things networks in energy efficiency with data optimization
For the past few years, the IoT (Internet of Things)-based restricted WSN (Wireless sensor
network) has sparked a lot of attention and progress in order to attain improved resource …
network) has sparked a lot of attention and progress in order to attain improved resource …
CMML: Combined metaheuristic-machine learning for adaptable routing in clustered wireless sensor networks
H Esmaeili, BM Bidgoli, V Hakami - Applied Soft Computing, 2022 - Elsevier
Cluster-based routing is the most common routing approach to achieve energy efficiency in
wireless sensor networks. However, optimal determination of cluster heads is NP-hard …
wireless sensor networks. However, optimal determination of cluster heads is NP-hard …