A New Crossover Methods and Fitness Scaling for Reducing Energy Consumption of Wireless Sensor Networks-Reference-Cited by-同舟云学术

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A New Crossover Methods and Fitness Scaling for Reducing Energy Consumption of Wireless Sensor Networks

Published:2022 Issue: Volume:10 Page:93439-93452
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alsharafat Wafa¹,Al-Shdaifat Alaa²^ORCID,Batiha Khaled²,AlSukker Akram³

Affiliation:

1. Department of Information System, Al Albayt University, Mafraq, Jordan

2. Department of Computer Science, Al Albayt University, Mafraq, Jordan

3. Department of Industrial Engineering, Faculty of Engineering, The Hashemite University, Zarqa, Jordan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09874754.pdf?arnumber=9874754

Reference39 articles.

1. An application-specific protocol architecture for wireless microsensor networks

2. Artificial Neural Network based Cluster Head Selection in Wireless Sensor Network

3. Investigating Optimization Techniques for Cluster Head Election in WSN

4. A novel fault tolerance energy-aware clustering method via social spider optimization (SSO) and fuzzy logic and mobile sink in wireless sensor networks (WSNs);tabatabaei;Comput Syst Sci Eng,2020

Cited by 2 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. EBPT-CRA: A clustering and routing algorithm based on energy-balanced path tree for wireless sensor networks;Expert Systems with Applications;2025-01

2. Efficient Clustering Based Routing for Energy Management in Wireless Sensor Network-Assisted Internet of Things;Electronics;2022-11-27

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