Augmenting Energy Sustainability of Static Nodes Using Hybrid KGNN-AHP Driven Approach for IoT-Based Heterogeneous WSN
As the nodes used in Internet of Things (IoT)- based wireless sensor network (WSN) are constrained by the limited source of energy, contemporary applications incorporate the heterogeneous energy model WSN. Although the node energies are heterogeneous in application, further study is required to impr...
Saved in:
Main Authors: | R. Blessina Preethi, M. Saranya Nair |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10816616/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning
by: Yi Lai, et al.
Published: (2025-01-01) -
Analysis and Optimization of the Spatial Patterns of Commercial Service Facilities Based on Multisource Spatiotemporal Data and Graph Neural Networks: A Case Study of Beijing, China
by: Yihang Xiao, et al.
Published: (2025-01-01) -
Creating Semantic Learner Groups in Distance Education Using the GraphSAGE approach
by: Chetoui Ismail, et al.
Published: (2025-01-01) -
Iterative algorithm for locating nodes in WSN based on modifying average hopping distances
by: LIN Jin-zhao1, et al.
Published: (2009-01-01) -
WSN malware infection model based on cellular automaton and static Bayesian game
by: Hong ZHANG, et al.
Published: (2019-06-01)