Shuffled ARSH-FATI: A Novel Meta-Heuristic for Lifetime Maximization of Range-Adjustable Wireless Sensor Networks-Reference-Cited by-同舟云学术

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Shuffled ARSH-FATI: A Novel Meta-Heuristic for Lifetime Maximization of Range-Adjustable Wireless Sensor Networks

Published:2023-09 Issue:3 Volume:7 Page:1217-1233
ISSN:2473-2400
Container-title:IEEE Transactions on Green Communications and Networking
language:
Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Tariq Umair Ullah¹^ORCID,Ali Haider²^ORCID,Hussain Mubashir³^ORCID,Liu Lu⁴^ORCID

Affiliation:

1. School of Engineering and Technology, Central Queensland University, Sydney, NSW, Australia

2. Department of Electronics, Computing, Mathematics, University of Derby, Derby, U.K

3. Department of Information Technology, King’s Own Institute, Sydney, NSW, Australia

4. School of Informatics, University of Leicester, Leicester, U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Link

http://xplorestaging.ieee.org/ielx7/7511293/10224556/10130437.pdf?arnumber=10130437

Reference43 articles.

1. A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks

2. Exact and heuristic methods to maximize network lifetime in wireless sensor networks with adjustable sensing ranges

3. Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review

4. Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors

5. Cloud-based virtualization environment for IoT-based WSN: solutions, approaches and challenges

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