Hybrid K-Mean PSO Clustering Algorithm for Energy-Efficient of Object Tracking in WSNs-Reference-Cited by-同舟云学术

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Hybrid K-Mean PSO Clustering Algorithm for Energy-Efficient of Object Tracking in WSNs

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Ahmed Sahar Hamad¹,Noori Rashid Ahmed²

Affiliation:

1. University Headquarter University of Anbar,Anbar,Iraq

2. University of Anbar,College Of Computer Science and Information Technology,Anbar,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252163/10252090/10252867.pdf?arnumber=10252867

Reference13 articles.

1. Distributed semi-clustering protocol for large-scale wireless sensor networks;wasmi;International Journal of Engineering & Technology,2018

2. Mobile Object Tracking in Wide Environments Using WSNs

3. Prediction of Single Object Tracking Based on Learning Approach in Wireless Sensor Networks

4. Balancing Energy Consumption in Heterogeneous Wireless Sensor Networks Using Genetic Algorithm

5. Power efficient organization of wireless sensor networks

Cited by 1 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. Application of Gray Wolf Particle Filter Algorithm Based on Golden Section in Wireless Sensor Network Mobile Target Tracking;Electronics;2024-06-21

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