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Machine learning‐based clustering protocols for Internet of Things networks: An overview
Summary The Internet of Things (IoT) continues to expand the current Internet, opening the
door to a wide range of novel applications. The increasing volume of the IoT requires …
door to a wide range of novel applications. The increasing volume of the IoT requires …
EE-LEACH: energy enhancement in LEACH using fuzzy logic for homogeneous WSN
The energy saving of wireless sensor nodes, which are organize in an unfriendly
environment, is a paramount challenge for the design of wireless sensor networks (WSNs) …
environment, is a paramount challenge for the design of wireless sensor networks (WSNs) …
A security and application of wireless sensor network: A comprehensive study
Wireless Sensor Networks (WSN s) have gained prominence in technology for diverse
applications, such as environmental monitoring, health care, smart agriculture, and industrial …
applications, such as environmental monitoring, health care, smart agriculture, and industrial …
EETSP: Energy‐efficient two‐stage routing protocol for wireless sensor network‐assisted Internet of Things
Wireless sensor network (WSN) is a key technology that can support Industrial Revolution
4.0. The sensor nodes (SNs) are the important component of WSN. Recharge or repair of …
4.0. The sensor nodes (SNs) are the important component of WSN. Recharge or repair of …
Lbecr: load balanced, efficient clustering and routing protocol for sustainable internet of things in smart cities
Abstract Internet of Things (IoT) has sensor nodes (SNs) in its primitive layer for collecting
data from an area of interest. These SNs are powered by a battery which is a significant …
data from an area of interest. These SNs are powered by a battery which is a significant …
Enhanced Elman spike neural network for cluster head based energy aware routing in WSN
An enhanced Elman spike neural network (EESNN) optimized with hybrid wild horse
optimization and chameleon swarm algorithm is proposed in this manuscript for multi …
optimization and chameleon swarm algorithm is proposed in this manuscript for multi …
[PDF][PDF] Energy-Aware Routing Protocols for Wireless Sensor Network Based on Fuzzy Logic: A 10-Years Analytical Review.
Wireless sensor networks (WSNs) have limited storage capacity, communication bandwidth,
processing speed, and battery issues. All these factors affect the lifespan of a WSN. Solving …
processing speed, and battery issues. All these factors affect the lifespan of a WSN. Solving …
Web app-based multiple diseases detection using machine learning: A novel approach
The increasing prevalence of various diseases calls for the development of efficient and
accurate disease detection systems. In this study, we propose a systematic approach for …
accurate disease detection systems. In this study, we propose a systematic approach for …
Fuzzy Clustering Routing Protocol for WSNs Based on the Game Model
L Cai, Z Li, S Lin, Z Lai, Y Liu… - IEEE Internet of Things …, 2025 - ieeexplore.ieee.org
In wireless sensor networks, effective energy management is vital for extending the network
life and improving performance. However, when nodes are densely and randomly …
life and improving performance. However, when nodes are densely and randomly …
Breast cancer forecast and diagnosis using machine learning approaches: A comparative analysis
In recent times, breast cancer has been the disease that affects most women worldwide.
Because people aren't aware of the first signs of cancer, the death rate from breast cancer …
Because people aren't aware of the first signs of cancer, the death rate from breast cancer …