Entropy Weighted TOPSIS Based Cluster Head Selection in Wireless Sensor Networks under Uncertainty
In recent decades, wireless sensor networks (WSNs) have become a popular ambient sensing and model-based solution for various applications. WSNs are now achievable due to the developments of micro electro mechanical and semiconductors logic circuits with rising computational power and wireless commu...
Main Authors: | Supriyan Sen, Laxminarayan Sahoo, Kalishankar Tiwary, Tapan Senapati |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Telecom |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-4001/4/4/30 |
Similar Items
-
Wireless Sensor Network Lifetime Extension via K-Medoids and MCDM Techniques in Uncertain Environment
by: Supriyan Sen, et al.
Published: (2023-03-01) -
Improvement of Wireless Sensor Network Lifetime via Intelligent Clustering Under Uncertainty
by: Laxminarayan Sahoo, et al.
Published: (2024-01-01) -
Modified Floyd–Warshall’s Algorithm for Maximum Connectivity in Wireless Sensor Networks under Uncertainty
by: Laxminarayan Sahoo, et al.
Published: (2022-01-01) -
Optimization of Data Distributed Network System under Uncertainty
by: Laxminarayan Sahoo, et al.
Published: (2022-01-01) -
Ramp Spacing Evaluation of Expressway Based on Entropy-Weighted TOPSIS Estimation Method
by: Jie Ma, et al.
Published: (2023-03-01)