Optimized Approach for Localization of Sensor Nodes in 2D Wireless Sensor Networks Using Modified Learning Enthusiasm-Based Teaching–Learning-Based Optimization Algorithm
Wireless Sensor Networks (WSNs) have a wonderful potential to interconnect with the physical world and collect data. Data estimation, long lifespan, deployment, routing, task scheduling, safety, and localization are the primary performance difficulties for WSNs. WSNs are made up of sensor nodes set...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/16/1/11 |
| _version_ | 1827629381933072384 |
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| author | Goldendeep Kaur Kiran Jyoti Nitin Mittal Vikas Mittal Rohit Salgotra |
| author_facet | Goldendeep Kaur Kiran Jyoti Nitin Mittal Vikas Mittal Rohit Salgotra |
| author_sort | Goldendeep Kaur |
| collection | DOAJ |
| description | Wireless Sensor Networks (WSNs) have a wonderful potential to interconnect with the physical world and collect data. Data estimation, long lifespan, deployment, routing, task scheduling, safety, and localization are the primary performance difficulties for WSNs. WSNs are made up of sensor nodes set up with minimal battery power to monitor and reveal the occurrences in the sensor field. Detecting the location is a difficult task, but it is a crucial characteristic in many WSN applications. Locating all of the sensor nodes efficiently to obtain the precise location of an occurrence is a critical challenge. Surveillance, animal monitoring, tracking of moving objects, and forest fire detection are just a few of the applications that demand precise location determination. To cope with localization challenges in WSNs, there is a variety of localization algorithms accessible in the literature. The goal of this research is to use various optimization strategies to solve the localization problem. In this work, a modified learning enthusiasm-based teaching–learning-based optimization (mLebTLBO) algorithm is used to cope with a 2D localization problem applying the notion of an exclusive anchor node and movable target nodes. A modified LebTLBO algorithm seeks to increase overall efficiency by assessing the exploration and exploitation abilities. The computational results reveal that this technique outperforms others with respect to localization errors in a 2D environment of WSN. |
| first_indexed | 2024-03-09T13:49:41Z |
| format | Article |
| id | doaj.art-0337698338b04b33accd0ec4deeadd3c |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-09T13:49:41Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-0337698338b04b33accd0ec4deeadd3c2023-11-30T20:51:10ZengMDPI AGAlgorithms1999-48932022-12-011611110.3390/a16010011Optimized Approach for Localization of Sensor Nodes in 2D Wireless Sensor Networks Using Modified Learning Enthusiasm-Based Teaching–Learning-Based Optimization AlgorithmGoldendeep Kaur0Kiran Jyoti1Nitin Mittal2Vikas Mittal3Rohit Salgotra4Department of Computer Science and Engineering, IKG Punjab Technical University Jalandhar, Punjab 144603, IndiaDepartment of Computer Science and Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, IndiaUniversity Centre for Research and Development, Chandigarh University, Mohali 140413, IndiaDepartment of Electronics and Communication Engineering, Chandigarh University, Mohali 140413, IndiaDepartment of Computer Science, Swansea University, Swansea SA2 8PP, UKWireless Sensor Networks (WSNs) have a wonderful potential to interconnect with the physical world and collect data. Data estimation, long lifespan, deployment, routing, task scheduling, safety, and localization are the primary performance difficulties for WSNs. WSNs are made up of sensor nodes set up with minimal battery power to monitor and reveal the occurrences in the sensor field. Detecting the location is a difficult task, but it is a crucial characteristic in many WSN applications. Locating all of the sensor nodes efficiently to obtain the precise location of an occurrence is a critical challenge. Surveillance, animal monitoring, tracking of moving objects, and forest fire detection are just a few of the applications that demand precise location determination. To cope with localization challenges in WSNs, there is a variety of localization algorithms accessible in the literature. The goal of this research is to use various optimization strategies to solve the localization problem. In this work, a modified learning enthusiasm-based teaching–learning-based optimization (mLebTLBO) algorithm is used to cope with a 2D localization problem applying the notion of an exclusive anchor node and movable target nodes. A modified LebTLBO algorithm seeks to increase overall efficiency by assessing the exploration and exploitation abilities. The computational results reveal that this technique outperforms others with respect to localization errors in a 2D environment of WSN.https://www.mdpi.com/1999-4893/16/1/11WSNslocalizationoptimizationmLebTLBO |
| spellingShingle | Goldendeep Kaur Kiran Jyoti Nitin Mittal Vikas Mittal Rohit Salgotra Optimized Approach for Localization of Sensor Nodes in 2D Wireless Sensor Networks Using Modified Learning Enthusiasm-Based Teaching–Learning-Based Optimization Algorithm Algorithms WSNs localization optimization mLebTLBO |
| title | Optimized Approach for Localization of Sensor Nodes in 2D Wireless Sensor Networks Using Modified Learning Enthusiasm-Based Teaching–Learning-Based Optimization Algorithm |
| title_full | Optimized Approach for Localization of Sensor Nodes in 2D Wireless Sensor Networks Using Modified Learning Enthusiasm-Based Teaching–Learning-Based Optimization Algorithm |
| title_fullStr | Optimized Approach for Localization of Sensor Nodes in 2D Wireless Sensor Networks Using Modified Learning Enthusiasm-Based Teaching–Learning-Based Optimization Algorithm |
| title_full_unstemmed | Optimized Approach for Localization of Sensor Nodes in 2D Wireless Sensor Networks Using Modified Learning Enthusiasm-Based Teaching–Learning-Based Optimization Algorithm |
| title_short | Optimized Approach for Localization of Sensor Nodes in 2D Wireless Sensor Networks Using Modified Learning Enthusiasm-Based Teaching–Learning-Based Optimization Algorithm |
| title_sort | optimized approach for localization of sensor nodes in 2d wireless sensor networks using modified learning enthusiasm based teaching learning based optimization algorithm |
| topic | WSNs localization optimization mLebTLBO |
| url | https://www.mdpi.com/1999-4893/16/1/11 |
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