Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks
Wireless Sensor Networks (WSNs) contain several small, autonomous sensor nodes (SNs) able to process, transfer, and wirelessly sense data. These networks find applications in various domains like environmental monitoring, industrial automation, healthcare, and surveillance. Node Localization (NL) is...
Saved in:
Main Authors: | , , , , , |
---|---|
格式: | Article |
語言: | English |
出版: |
MDPI
2023
|
主題: | |
在線閱讀: | http://irep.iium.edu.my/108231/7/108231_Chaotic%20Mapping%20Lion%20Optimization%20Algorithm-Based%20Node%20Localization.pdf http://irep.iium.edu.my/108231/ https://www.mdpi.com/1424-8220/23/21/8699 https://doi.org/10.3390/s23218699 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
id |
my.iium.irep.108231 |
---|---|
record_format |
dspace |
spelling |
my.iium.irep.1082312024-02-05T04:18:42Z http://irep.iium.edu.my/108231/ Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks Motwakel, Abdelwahed Hassan Abdalla Hashim, Aisha Alamro, Hayam Alqahtani, Hamed Alotaibi, Faiz Abdullah Sayed, Ahmed TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Wireless Sensor Networks (WSNs) contain several small, autonomous sensor nodes (SNs) able to process, transfer, and wirelessly sense data. These networks find applications in various domains like environmental monitoring, industrial automation, healthcare, and surveillance. Node Localization (NL) is a major problem in WSNs, aiming to define the geographical positions of sensors correctly. Accurate localization is essential for distinct WSN applications comprising target tracking, environmental monitoring, and data routing. Therefore, this paper develops a Chaotic Mapping Lion Optimization Algorithm-based Node Localization Approach (CMLOA-NLA) for WSNs. The purpose of the CMLOA-NLA algorithm is to define the localization of unknown nodes based on the anchor nodes (ANs) as a reference point. In addition, the CMLOA is mainly derived from the combination of the tent chaotic mapping concept into the standard LOA, which tends to improve the convergence speed and precision of NL. With extensive simulations and comparison results with recent localization approaches, the effectual performance of the CMLOA-NLA technique is illustrated. The experimental outcomes demonstrate considerable improvement in terms of accuracy as well as efficiency. Furthermore, the CMLOA-NLA technique was demonstrated to be highly robust against localization error and transmission range with a minimum average localization error of 2.09%. Keywords: anchor nodes; metaheuristic optimization algorithm; node localization; tent chaotic mapping; wireless sensor networks MDPI 2023-10-25 Article PeerReviewed application/pdf en http://irep.iium.edu.my/108231/7/108231_Chaotic%20Mapping%20Lion%20Optimization%20Algorithm-Based%20Node%20Localization.pdf Motwakel, Abdelwahed and Hassan Abdalla Hashim, Aisha and Alamro, Hayam and Alqahtani, Hamed and Alotaibi, Faiz Abdullah and Sayed, Ahmed (2023) Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks. Sensors, 23 (21). pp. 1-15. ISSN 1424-8220 https://www.mdpi.com/1424-8220/23/21/8699 https://doi.org/10.3390/s23218699 |
institution |
Universiti Islam Antarabangsa Malaysia |
building |
IIUM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
International Islamic University Malaysia |
content_source |
IIUM Repository (IREP) |
url_provider |
http://irep.iium.edu.my/ |
language |
English |
topic |
TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering |
spellingShingle |
TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Motwakel, Abdelwahed Hassan Abdalla Hashim, Aisha Alamro, Hayam Alqahtani, Hamed Alotaibi, Faiz Abdullah Sayed, Ahmed Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks |
description |
Wireless Sensor Networks (WSNs) contain several small, autonomous sensor nodes (SNs) able to process, transfer, and wirelessly sense data. These networks find applications in various domains like environmental monitoring, industrial automation, healthcare, and surveillance. Node Localization (NL) is a major problem in WSNs, aiming to define the geographical positions of sensors correctly. Accurate localization is essential for distinct WSN applications comprising target tracking, environmental monitoring, and data routing. Therefore, this paper develops a Chaotic Mapping Lion Optimization Algorithm-based Node Localization Approach (CMLOA-NLA) for WSNs. The purpose of the CMLOA-NLA algorithm is to define the localization of unknown nodes based on the anchor nodes (ANs) as a reference point. In addition, the CMLOA is mainly derived from the combination of the tent chaotic mapping concept into the standard LOA, which tends to improve the convergence speed and precision of NL. With extensive simulations and comparison results with recent localization approaches, the effectual performance of the CMLOA-NLA technique is illustrated. The experimental outcomes demonstrate considerable improvement in terms of accuracy as well as efficiency. Furthermore, the CMLOA-NLA technique was demonstrated to be highly robust against localization error and transmission range with a minimum average localization error of 2.09%.
Keywords: anchor nodes; metaheuristic optimization algorithm; node localization; tent chaotic mapping; wireless sensor networks |
format |
Article |
author |
Motwakel, Abdelwahed Hassan Abdalla Hashim, Aisha Alamro, Hayam Alqahtani, Hamed Alotaibi, Faiz Abdullah Sayed, Ahmed |
author_facet |
Motwakel, Abdelwahed Hassan Abdalla Hashim, Aisha Alamro, Hayam Alqahtani, Hamed Alotaibi, Faiz Abdullah Sayed, Ahmed |
author_sort |
Motwakel, Abdelwahed |
title |
Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks |
title_short |
Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks |
title_full |
Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks |
title_fullStr |
Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks |
title_full_unstemmed |
Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks |
title_sort |
chaotic mapping lion optimization algorithm-based node localization approach for wireless sensor networks |
publisher |
MDPI |
publishDate |
2023 |
url |
http://irep.iium.edu.my/108231/7/108231_Chaotic%20Mapping%20Lion%20Optimization%20Algorithm-Based%20Node%20Localization.pdf http://irep.iium.edu.my/108231/ https://www.mdpi.com/1424-8220/23/21/8699 https://doi.org/10.3390/s23218699 |
_version_ |
1792146419464798208 |
score |
13.149126 |