Target Recognition Approach for Efficient Sensing in Wireless Multimedia Sensor Networks

Al-Sabhan, Manal; Soudani, Adel

doi:10.5220/0006603900910098

Cited by 4 publications

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“…In-depth results demonstrated sensitivity to the characteristics of the detected object in the image. 42 Our previous work published in Alsabhan and Soudani 28 proposed a processing scheme for energy efficiency based on GFDs as a descriptor of the object’s recognition process. We provided a comparison with the deployment of ZM, showing a significant energy saving while using GFD descriptors.…”

Section: Resultsmentioning

confidence: 99%

“…This technique can reduce image data redundancies and lower the network traffic data while preserving adequate image quality. 26–28 A way to accomplish this method is to use an ROI descriptor at the sensor node to detect whether the image captures an even interest and sends the minimum required data to the end-user. This approach reduces the data transmitted to the sink node; consequently, it preserves the energy of the source sensor and the energy of the other nodes of the network.…”

Section: Related Workmentioning

confidence: 99%

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A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

Al-Sabhan

Soudani

AlMusallam

2022

International Journal of Distributed Sensor Networks

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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.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

Al-Sabhan

Soudani

AlMusallam

2022

International Journal of Distributed Sensor Networks

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“…Using a local event-based sensing and detection scheme would be an effective method for maximizing energy efficiency and extending the network lifetime. Using this technique reduces redundant image data and network traffic [7,30,31]. This may be achieved by using a regional interest descriptor locally at the network level to determine if the image contains an even area of interest and send the minimum data.…”

Section: Event-based Detection Approachmentioning

confidence: 99%

“…In our previous work published in [31], we compared the energy efficiency of a scheme based on GFD and another one based on Zernike moments (ZMs) for event-based object recognition. We found that the energy consumption using ZMs can reach 9.995 mJ when using images of 64 × 64-8 bpp and 16.8 mJ for images of 128 × 128-8 bpp, while the required energy in a scheme based on GFD is 4.02 mJ for images of 64 × 64-8 bpp and 4.86 mJ for images of 128 × 128-8 bpp.…”

Section: Energy Consumption Efficiency Analysismentioning

confidence: 99%

A Study on Energy Efficiency of a Distributed Processing Scheme for Image-Based Target Recognition for Internet of Multimedia Things

2023

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A growing number of services and applications are developed using multimedia sensing low-cost wireless devices, thus creating the Internet of Multimedia Things (IoMT). Nevertheless, energy efficiency and resource availability are two of the most challenging issues to overcome when developing image-based sensing applications. In depth, image-based sensing and transmission in IoMT significantly drain the sensor energy and overwhelm the network with redundant data. Event-based sensing schemes can be used to provide efficient data transmission and an extended network lifetime. This paper proposes a novel approach for distributed event-based sensing achieved by a cluster of processing nodes. The proposed scheme aims to balance the processing load across the nodes in the cluster. This study demonstrates the adequacy of distributed processing to extend the lifetime of the IoMT platform and compares the efficiency of Haar wavelet decomposition and general Fourier descriptors (GFDs) as a feature extraction module in a distributed features-based target recognition system. The results show that the distributed processing of the scheme based on the Haar wavelet transform of the image outperforms the scheme based on a general Fourier shape descriptor in recognition accuracy of the target as well as the energy consumption. In contrast to a GFD-based scheme, the recognition accuracy of a Haar-based scheme was increased by 26%, and the number of sensing cycles was increased from 40 to 70 cycles, which attests to the adequacy of the proposed distributed Haar-based processing scheme for deployment in IoMT devices.

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Data reduction techniques for wireless multimedia sensor networks: a systematic literature review

Abbood,

Idrees

2023

J Supercomput

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Target Recognition Approach for Efficient Sensing in Wireless Multimedia Sensor Networks

Cited by 4 publications

References 0 publications

A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things

A Study on Energy Efficiency of a Distributed Processing Scheme for Image-Based Target Recognition for Internet of Multimedia Things

Data reduction techniques for wireless multimedia sensor networks: a systematic literature review

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