Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks-Reference-Cited by-同舟云学术

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Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks

Published:2021-03-15 Issue:6 Volume:8 Page:4868-4881
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhu Botao^ORCID,Bedeer Ebrahim^ORCID,Nguyen Ha H.^ORCID,Barton Robert^ORCID,Henry Jerome^ORCID

Funder

NSERC/Cisco Industrial Research Chair in Low-Power Wireless Access for Sensor Networks

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9371274/09225133.pdf?arnumber=9225133

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Threshold-driven K-means sector clustering algorithm for wireless sensor networks;EURASIP Journal on Wireless Communications and Networking;2024-09-04

2. Hybrid Red Deer and Improved Fireworks Optimization Algorithm–based Clustering Protocol for improving network longevity with energy stability in WSNs;International Journal of Communication Systems;2024-08-14

3. Improved Soft-k-Means Clustering Charging Based on Node Collaborative Scheduling in Wireless Sensor Networks;Wireless Personal Communications;2024-08

4. Energy Efficient Routing in Cluster Based Heterogeneous Wireless Sensor Network Using Hybrid GWO and Firefly Algorithm;Wireless Personal Communications;2024-07

5. D2PG: deep deterministic policy gradient based for maximizing network throughput in clustered EH-WSN;Wireless Networks;2024-05-26

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