Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods

Data Compression and Encryption for Remote Sensor Networks Using Different Techniques Methods

Mahmood Ali Ahmed, Khamees Khalaf Hasan
Copyright: © 2021 |Pages: 11
DOI: 10.4018/JCIT.20210401.oa4
Article PDF Download
Open access articles are freely available for download

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.
Article Preview
Top

1. Introduction

Wavelet transform realizes the energy of the picture confined among theory and detailed pictures; the hard and fast vitality stays predictable. In lossy weight, loss of vitality occurs in light of quantization (B.Alhayani & H.Ilhan, 2010). The compaction of vitality depicts how much essentialness has been compacted into the evaluated picture during the wavelet examination. Compaction is gigantic when squeezing signs since, the more, the higher the imperativeness compaction into the assessed picture, the higher weight ampleness may be gotten (B.Alhayani &Milind Rane, 2014):

JCIT.20210401.oa4.m01
(1)

Wavelet transform crumbles the sign into various sub-social occasions, all of which has it is very own spatial bearing combine that can be feasibly utilized for picture coding. In picture coding, this construes a quantization bungle from the coefficient won’t stay limited to the area yet rather will spread through the duplicated picture with the condition of the looking at wavelet (B.ALhayani & Haci Ilhan, 2017). Wavelet transform offers various favourable circumstances, and wavelet coding has been at the point of convergence of the various states of craftsmanship picture coders. Wireless communication is one of the predominant modes used to share information from source to destination (H. Xua, K. Huan, & H. Wang, 2015). It has been growing rapidly in industrial, medical, education, and other developing sectors.

Wireless technologies are employed at radio frequencies for the information to be conveyed to the consumers quickly and without any loss. The messages are transferred through channels without any wires so that the work can be done anywhere and at any time (H. Yang et al,2010). The major applications of wireless technologies are in mobile telephones, radio receivers, telecasts, and wireless networking. Applications, such as video conferencing, require a high data rate to transport the informa- tion in a short time (J. M. Shapiro,1993). Though the increase in mobility of wireless communication technology is tremendous, the cost of the installation and maintenance of the wireless components needs to be minimized. Wireless signals are propagated into air with noise added into the signal. As a result, the signal strength is decreased, increasing the loss of data (J. N. Laneman, D. N. C. Tse, & G. W. Wornell, 2004). The primary goal of the wireless communication system is to limit the error and maximize the data rate or system capacity, especially in multimedia communications. Sensor hubs speak with one another through a radio connection in a multihop manner (J. N. Laneman & G. W. Wor- nell, 2002). They broadcast the measured event to the nodes present within their transmission range, and finally, the event reaches the network operator at the monitoring site. Sensor nodes broadcast the measured event only after in-network processing which makes it unsuitable for applications that deal with huge volume of data (J. Pappacha & J. Baby, 2015).

Wireless Multimedia Sensor Network (WMSN) belatedly has the idea of the examination network because of the progression of CMOS cameras. WMSN gives a vast extent of potential applications in both standard occupant and military areas which require visual data, for example, reconnaissance, natural and mechanical checking, savvy traffic blockage control, medicinal services, and green city applications (B. Alhayani & H. Ilhan, 2020). While there are many applications for WMSN, this thesis targets those applications in which the digital images are transmitted over WSNs. The overview of WMSN in which camera hubs are put in the observation zone to be checked. The captured video is transmitted to the monitoring site in a multihop manner using regular nodes. The availability of CMOS cameras has encouraged the advancement of WMSNs which comprises remotely interconnected multimedia capable sensor nodes. These multimedia sensor nodes extensively recover multimedia substances, for example, video and sound streams, still pictures, and scalar sensor data from nature. The mixed-media information collected from the environment is processed and transmitted (Khalaf, O. I., & Abdulsahib, G. M., 2019).

Complete Article List

Search this Journal:
Reset
Volume 26: 1 Issue (2024)
Volume 25: 1 Issue (2023)
Volume 24: 5 Issues (2022)
Volume 23: 4 Issues (2021)
Volume 22: 4 Issues (2020)
Volume 21: 4 Issues (2019)
Volume 20: 4 Issues (2018)
Volume 19: 4 Issues (2017)
Volume 18: 4 Issues (2016)
Volume 17: 4 Issues (2015)
Volume 16: 4 Issues (2014)
Volume 15: 4 Issues (2013)
Volume 14: 4 Issues (2012)
Volume 13: 4 Issues (2011)
Volume 12: 4 Issues (2010)
Volume 11: 4 Issues (2009)
Volume 10: 4 Issues (2008)
Volume 9: 4 Issues (2007)
Volume 8: 4 Issues (2006)
Volume 7: 4 Issues (2005)
Volume 6: 1 Issue (2004)
Volume 5: 1 Issue (2003)
Volume 4: 1 Issue (2002)
Volume 3: 1 Issue (2001)
Volume 2: 1 Issue (2000)
Volume 1: 1 Issue (1999)
View Complete Journal Contents Listing