An Optimal Cluster Head Selection in Wireless Sensor Network Utilizing an Unsupervised Learning Algorithm-Reference-Cited by-同舟云学术

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An Optimal Cluster Head Selection in Wireless Sensor Network Utilizing an Unsupervised Learning Algorithm

Published:2022-04-15 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Computing and Machine Intelligence (ICMI)
language:
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Author:

Khalifeh Ala'¹,Alqudah Mahmoud²,Alouneh Sahel³

Affiliation:

1. German Jordanian University,Electrical Engineering Department,Amman,Jordan

2. German Jordanian University,Computer Engineering Department,Amman,Jordan

3. German Jordanian University Al Ain – UAE,College of Engineering, Al Ain University,Computer Engineering Department,Amman,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872523/9873645/09873662.pdf?arnumber=9873662

Reference15 articles.

1. Joint Routing and Channel Assignment for Throughput Maximization in Mobile Wireless Sensor Networks

2. Improving Routing Protocol for Low-Power and Lossy Networks over IoT Enviroment

3. IEDB-CHS-BOF: Improved Energy and Distance Based CH Selection with Balanced Objective Function for Wireless Sensor Networks

4. A Wake-up Receiver Sensor Node Model for WSNs

5. Impairments-aware time slot allocation model for energy-constrained multi-hop clustered IoT nodes considering TDMA and DSSS MAC protocols

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