A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things
The availability of low-cost embedded devices for multimedia sensing has encouraged their integration with low-power wireless sensors to create systems that enable advanced services and applications referred to as the Internet of Multimedia Things. Image-based sensing applications are challenged by...
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| Format: | Article |
| Language: | English |
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Wiley
2022-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/15501329221100326 |
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| _version_ | 1832559690374971392 |
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| author | Manal Alsabhan Adel Soudani Manan Almusallam |
| author_facet | Manal Alsabhan Adel Soudani Manan Almusallam |
| author_sort | Manal Alsabhan |
| collection | DOAJ |
| description | The availability of low-cost embedded devices for multimedia sensing has encouraged their integration with low-power wireless sensors to create systems that enable advanced services and applications referred to as the Internet of Multimedia Things. Image-based sensing applications are challenged by energy efficiency and resource availability. Mainly, image sensing and transmission in Internet of Multimedia Things severely deplete the sensor energy and overflow the network bandwidth with redundant data. Some solutions presented in the literature, such as image compression, do not efficiently solve this problem because of the algorithms’ computational complexities. Thus, detecting the event of interest locally before the communication using shape-based descriptors would avoid useless data transmission and would extend the network lifetime. In this article, we propose a new approach of distributed event-based sensing scheme over a set of nodes forming a processing cluster to balance the processing load. This approach is intended to reduce per-node energy consumption in one sensing cycle. The conducted experiments show that our novel method based on the general Fourier descriptor decreases the energy consumption in the camera node to only 2.4 mJ, which corresponds to 75.32% of energy-saving compared to the centralized approach, promising to prolong the network lifetime significantly. In addition, the scheme achieved more than 95% accuracy in target recognition. |
| format | Article |
| id | doaj-art-4fd5bf6c79994d9b8ffe67bec14b4342 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2022-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-4fd5bf6c79994d9b8ffe67bec14b43422025-02-03T01:29:28ZengWileyInternational Journal of Distributed Sensor Networks1550-14772022-05-011810.1177/15501329221100326A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia ThingsManal Alsabhan0Adel Soudani1Manan Almusallam2Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Computer Science, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi ArabiaThe availability of low-cost embedded devices for multimedia sensing has encouraged their integration with low-power wireless sensors to create systems that enable advanced services and applications referred to as the Internet of Multimedia Things. Image-based sensing applications are challenged by energy efficiency and resource availability. Mainly, image sensing and transmission in Internet of Multimedia Things severely deplete the sensor energy and overflow the network bandwidth with redundant data. Some solutions presented in the literature, such as image compression, do not efficiently solve this problem because of the algorithms’ computational complexities. Thus, detecting the event of interest locally before the communication using shape-based descriptors would avoid useless data transmission and would extend the network lifetime. In this article, we propose a new approach of distributed event-based sensing scheme over a set of nodes forming a processing cluster to balance the processing load. This approach is intended to reduce per-node energy consumption in one sensing cycle. The conducted experiments show that our novel method based on the general Fourier descriptor decreases the energy consumption in the camera node to only 2.4 mJ, which corresponds to 75.32% of energy-saving compared to the centralized approach, promising to prolong the network lifetime significantly. In addition, the scheme achieved more than 95% accuracy in target recognition.https://doi.org/10.1177/15501329221100326 |
| spellingShingle | Manal Alsabhan Adel Soudani Manan Almusallam A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things International Journal of Distributed Sensor Networks |
| title | A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things |
| title_full | A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things |
| title_fullStr | A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things |
| title_full_unstemmed | A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things |
| title_short | A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things |
| title_sort | distributed scheme for energy efficient event based target recognition using internet of multimedia things |
| url | https://doi.org/10.1177/15501329221100326 |
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