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Cite Teaching Case
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MLA
Ahmed, Mahmood Aliand Khamees Khalaf Hasan. "Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods." IGI Global, 2021. 39-49. Web. 28 Mar. 2024. doi:10.4018/JCIT.20210401.oa4
APA
Ahmed, M. A. & Hasan, K. K. (2021). Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods (pp. 39-49). doi:10.4018/JCIT.20210401.oa4
Chicago
Ahmed, Mahmood Aliand Khamees Khalaf Hasan. "Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods," 39-49 (2021), accessed March 28, 2024. doi:10.4018/JCIT.20210401.oa4
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Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods
Mahmood Ali Ahmed (College of Al Shirqat Engineering, Tikrit University, Tikrit, Iraq) and Khamees Khalaf Hasan (College of Al Shiirqat Engineering, Tikrit University, Tikrit, Iraq)
Copyright:
© 2021
|
Pages:
49
EISBN13:
9781799897439
|
DOI:
10.4018/JCIT.20210401.oa4
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Abstract
Wireless sensor networks (WSNs) are widely used for the different multimedia applications in which the data in multimedia form (e.g., images and videos) are captured by visual sensors and transmitted to base stations or destination nodes, and such networks, commonly called wireless multimedia sensor networks (WMSN), transmit high-quality images over sensor nodes with image quality improvement and CS technique while the security of CS data is achieved. The one-way DF-based cooperative digital image transmission model over WSNs using advanced terminologies for image compression called advanced JPEG2000 compression and modified elliptical curve cryptography (ECC) encryption is proposed. Image quality improvement efficiency is essential in multimedia applications and wireless communications. The authors proposed a novel technique based on adaptive and dynamic noise removal and quality improvement for both before compression and after compression. The compression method designed is based on CS technique.
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