Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique
When using a Wireless Sensor Network (WSN) for target tracking applications, optimum selection of right functioning nodes can reduce the number of active nodes and also ensuring tracking reliability requirement. Due to the limitations of the WSN's sensing range, it is crucial to create a mechan...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-04-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266591742300003X |
| _version_ | 1811155471582625792 |
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| author | K. Reddy Madhavi Mohd Nasrun Mohd Nawi B. Bhaskar Reddy K. Baboji Kakarla Hari Kishore S.V. Manikanthan |
| author_facet | K. Reddy Madhavi Mohd Nasrun Mohd Nawi B. Bhaskar Reddy K. Baboji Kakarla Hari Kishore S.V. Manikanthan |
| author_sort | K. Reddy Madhavi |
| collection | DOAJ |
| description | When using a Wireless Sensor Network (WSN) for target tracking applications, optimum selection of right functioning nodes can reduce the number of active nodes and also ensuring tracking reliability requirement. Due to the limitations of the WSN's sensing range, it is crucial to create a mechanism that allows nodes to coordinate in order to follow the target reliably and with a high probability. By doing this, the network's overall energy consumption can be decreased, resulting in a longer network lifetime. Target tracking (TT) is a well observed and significant application of WSNs. In simple words, it maintains a proper trade-off between tracking quality and energy consumption. In the proposed work, Particle Filter (PF) with a machine learning technique called Support Vector Machine (SVM) based energy efficient target tracking used in WSN's. PF is considered to be the most accepted filtering algorithm in various tracking and localization problems. Simulation results show greater performance in determining the target location and maintain lower energy consumption. |
| first_indexed | 2024-04-10T04:34:41Z |
| format | Article |
| id | doaj.art-1d2fb2cfefe84f2eb608e1e68a535470 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-04-10T04:34:41Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-1d2fb2cfefe84f2eb608e1e68a5354702023-03-10T04:35:57ZengElsevierMeasurement: Sensors2665-91742023-04-0126100667Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) techniqueK. Reddy Madhavi0Mohd Nasrun Mohd Nawi1B. Bhaskar Reddy2K. Baboji3Kakarla Hari Kishore4S.V. Manikanthan5Department of CSE, Sree Vidyanikethan Engineering College, Tirupati, India; Corresponding author.School of Technology Management and Logistic, Universiti Utara Malaysia, 06010, Sintok, Kedah, MalaysiaSt.peters Engineering College, Opp.forest Academy, Dhulapally, Maisammaguda, Medchal district, Hyderabad, Telangana, 500100, IndiaDepartment of E.C.E, Vidya Jyothi Institute of Technology, Aziznagar, Hyderabad, IndiaDepartment of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, IndiaMelange Academic Research Associates, Puducherry, IndiaWhen using a Wireless Sensor Network (WSN) for target tracking applications, optimum selection of right functioning nodes can reduce the number of active nodes and also ensuring tracking reliability requirement. Due to the limitations of the WSN's sensing range, it is crucial to create a mechanism that allows nodes to coordinate in order to follow the target reliably and with a high probability. By doing this, the network's overall energy consumption can be decreased, resulting in a longer network lifetime. Target tracking (TT) is a well observed and significant application of WSNs. In simple words, it maintains a proper trade-off between tracking quality and energy consumption. In the proposed work, Particle Filter (PF) with a machine learning technique called Support Vector Machine (SVM) based energy efficient target tracking used in WSN's. PF is considered to be the most accepted filtering algorithm in various tracking and localization problems. Simulation results show greater performance in determining the target location and maintain lower energy consumption.http://www.sciencedirect.com/science/article/pii/S266591742300003XWireless sensor networksSVMPFTarget trackingEnergy efficient |
| spellingShingle | K. Reddy Madhavi Mohd Nasrun Mohd Nawi B. Bhaskar Reddy K. Baboji Kakarla Hari Kishore S.V. Manikanthan Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique Measurement: Sensors Wireless sensor networks SVM PF Target tracking Energy efficient |
| title | Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique |
| title_full | Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique |
| title_fullStr | Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique |
| title_full_unstemmed | Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique |
| title_short | Energy efficient target tracking in wireless sensor network using PF-SVM (particle filter-support vector machine) technique |
| title_sort | energy efficient target tracking in wireless sensor network using pf svm particle filter support vector machine technique |
| topic | Wireless sensor networks SVM PF Target tracking Energy efficient |
| url | http://www.sciencedirect.com/science/article/pii/S266591742300003X |
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