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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 …
Mechanical, fracture-deformation, and tribology behavior of fillers-reinforced sisal fiber composites for lightweight automotive applications
The main focus of this study is on the effects of fly ash, basalt powder, and tungsten carbide
(WC) on the mechanical (tensile strength, flexural strength, impact strength, and Shore D …
(WC) on the mechanical (tensile strength, flexural strength, impact strength, and Shore D …
[HTML][HTML] A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles
Abstract The evolution of Autonomous Vehicles (AVs) has blurred the distinction between
drivers and passengers, resulting in increased demand for in-car entertainment …
drivers and passengers, resulting in increased demand for in-car entertainment …
SEB-ChOA: an improved chimp optimization algorithm using spiral exploitation behavior
The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting …
[HTML][HTML] Vehicle detection and classification via YOLOv8 and deep belief network over aerial image sequences
Vehicle detection and classification are the most significant and challenging activities of an
intelligent traffic monitoring system. Traditional methods are highly computationally …
intelligent traffic monitoring system. Traditional methods are highly computationally …
The optimization of nodes clustering and multi-hop routing protocol using hierarchical chimp optimization for sustainable energy efficient underwater wireless sensor …
S He, Q Li, M Khishe, A Salih Mohammed… - Wireless networks, 2024 - Springer
The design of underwater wireless sensor networks (UWSNs) faces many challenges,
including power consumption, storage, battery life, and transmission bandwidth. UWSNs …
including power consumption, storage, battery life, and transmission bandwidth. UWSNs …
A GSO‐based multi‐objective technique for performance optimization of blockchain‐based industrial Internet of things
The latest developments in the industrial Internet of things (IIoT) have opened up a collection
of possibilities for many industries. To solve the massive IIoT data security and efficiency …
of possibilities for many industries. To solve the massive IIoT data security and efficiency …
Data-driven indoor positioning correction for infrastructure-enabled autonomous driving systems: A lifelong framework
C Zhao, A Song, Y Zhu, S Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Infrastructure-enabled autonomous driving systems have been increasingly applied in
confined environments. Automated valet parking (AVP) in smart parking garages is one of …
confined environments. Automated valet parking (AVP) in smart parking garages is one of …
A Novel Electric Vehicle Battery Management System Using an Artificial Neural Network‐Based Adaptive Droop Control Theory
The novelty of this research lies in the development of a new battery management system
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …
(BMS) for electric vehicles, which utilizes an artificial neural network (ANN) and fuzzy logic …
Enhancing robot path planning through a twin-reinforced chimp optimization algorithm and evolutionary programming algorithm
The importance of efficient path planning (PP) cannot be overstated in the domain of robots,
as it involves the utilization of intelligent algorithms to determine the optimal trajectory for …
as it involves the utilization of intelligent algorithms to determine the optimal trajectory for …