Research of Coverage Optimization Strategy Based on Improved Northern Goshawk Algorithm-Reference-Cited by-同舟云学术

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Research of Coverage Optimization Strategy Based on Improved Northern Goshawk Algorithm

Published:2024-08-15 Issue:16 Volume:24 Page:26668-26681
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yao Yindi¹^ORCID,Song Xiaoxiao²^ORCID,Zhao Bozhan²^ORCID,Tian Yuying²^ORCID,Yang Ying²,Yang Maoduo²^ORCID

Affiliation:

1. School of Communication and Information Engineering and Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an, China

2. School of Communications and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, China

Funder

Key Research and Development Projects of Shaanxi Province

Shaanxi Province Innovative Talents Promotion Plan—Internet of Things Technology Innovation Team

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10637303/10582836.pdf?arnumber=10582836

Reference38 articles.

1. Machine learning algorithms for wireless sensor networks: A survey

2. Applicability of Wireless Sensor Networks in Precision Agriculture: A Review

3. Intrusion Monitoring in Military Surveillance Applications using Wireless Sensor Networks (WSNs) with Deep Learning for Multiple Object Detection and Tracking

4. Coverage optimization strategy of WSNs based on improved bat algorithm;Yao;J. Xi’an Univ. Posts Telecommun.,2021

5. Software Defined Networks in Industrial Automation

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