An Efficient WSN Simulator for GPU-Based Node Performance
In wireless sensor network, when these sensors are wrongly placed in an observation region, they can quickly run out of batteries or be disconnected. These incidents may result in huge losses in terms of sensing data from numerous sensors and their costs. For this reason, a number of simulators have...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2013-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/145863 |
| _version_ | 1827000305461493760 |
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| author | An Na Kang Hyun-Woo Kim Leonard Barolli Young-Sik Jeong |
| author_facet | An Na Kang Hyun-Woo Kim Leonard Barolli Young-Sik Jeong |
| author_sort | An Na Kang |
| collection | DOAJ |
| description | In wireless sensor network, when these sensors are wrongly placed in an observation region, they can quickly run out of batteries or be disconnected. These incidents may result in huge losses in terms of sensing data from numerous sensors and their costs. For this reason, a number of simulators have been developed as tools for effective design and verification before the actual arrangement of sensors. While a number of simulators have been developed, simulation results can be fairly limited and the execution speed can be markedly slow depending on the function of each simulator. In this regard, to improve the performance of existing simulators, this research aimed to develop a parallel calculation simulator for independent sensor (PCSIS) that enables users to selectively use the GPU mode and, based on this mode, enables parallel and independent operations by matching GPU with many cores in order to resolve the slowdown of the execution speed when numerous sensor nodes are used for simulations. The PCSIS supports the GPU mode in an environment that allows the operation of compute unified device architecture (CUDA) and performs the parallel simulation calculation of multiple sensors using the mode within a short period of time. |
| first_indexed | 2024-03-12T07:52:12Z |
| format | Article |
| id | doaj.art-d008615ca2404fe7a9d107386e71cd5e |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2025-02-18T10:43:11Z |
| publishDate | 2013-10-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-d008615ca2404fe7a9d107386e71cd5e2024-11-02T05:28:02ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-10-01910.1155/2013/145863An Efficient WSN Simulator for GPU-Based Node PerformanceAn Na Kang0Hyun-Woo Kim1Leonard Barolli2Young-Sik Jeong3 Department of Multimedia Engineering, Dongguk University, 30 Pildongro 1 Gil, Jung-Gu, Seoul 100-715, Republic of Korea Department of Multimedia Engineering, Dongguk University, 30 Pildongro 1 Gil, Jung-Gu, Seoul 100-715, Republic of Korea Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, Japan Department of Multimedia Engineering, Dongguk University, 30 Pildongro 1 Gil, Jung-Gu, Seoul 100-715, Republic of KoreaIn wireless sensor network, when these sensors are wrongly placed in an observation region, they can quickly run out of batteries or be disconnected. These incidents may result in huge losses in terms of sensing data from numerous sensors and their costs. For this reason, a number of simulators have been developed as tools for effective design and verification before the actual arrangement of sensors. While a number of simulators have been developed, simulation results can be fairly limited and the execution speed can be markedly slow depending on the function of each simulator. In this regard, to improve the performance of existing simulators, this research aimed to develop a parallel calculation simulator for independent sensor (PCSIS) that enables users to selectively use the GPU mode and, based on this mode, enables parallel and independent operations by matching GPU with many cores in order to resolve the slowdown of the execution speed when numerous sensor nodes are used for simulations. The PCSIS supports the GPU mode in an environment that allows the operation of compute unified device architecture (CUDA) and performs the parallel simulation calculation of multiple sensors using the mode within a short period of time.https://doi.org/10.1155/2013/145863 |
| spellingShingle | An Na Kang Hyun-Woo Kim Leonard Barolli Young-Sik Jeong An Efficient WSN Simulator for GPU-Based Node Performance International Journal of Distributed Sensor Networks |
| title | An Efficient WSN Simulator for GPU-Based Node Performance |
| title_full | An Efficient WSN Simulator for GPU-Based Node Performance |
| title_fullStr | An Efficient WSN Simulator for GPU-Based Node Performance |
| title_full_unstemmed | An Efficient WSN Simulator for GPU-Based Node Performance |
| title_short | An Efficient WSN Simulator for GPU-Based Node Performance |
| title_sort | efficient wsn simulator for gpu based node performance |
| url | https://doi.org/10.1155/2013/145863 |
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