Hybrid Image Compression Scheme for Wireless Media Sensor Network and Contrast With DWT and DCT Schemes

Authors

  • Usha Tiwari Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India ,Department of EECE, Sharda University, U.P, India
  • Shabana Mehfuz Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India
  • Sibaram Khara Department of EECE, Sharda University, U.P, India

DOI:

https://doi.org/10.13052/jmm1550-4646.213425

Keywords:

WMSN (Wireless Media Sensor Network), PSNR, MSE, packet delivery rate, throughput, compression ratio, data compression

Abstract

In recent years, Wireless Media Sensor Network (WMSN’s) deployments have rapidly increased for real time systems in various areas. Power consumption is always a critical issue which affects the overall lifetime of a wireless sensor network. WSN mainly consists of various types of sensor nodes, which are capable of sensing, computing and communicating to sink nodes wirelessly. The communication process is the main source of power consumption in the node, so a data compression technique is required which leads to a reduction in data transmitted over the wireless channels. For reducing the size of multimedia data received from media sensors, the set partitioning in a hierarchical tree (SPIHT) is always a favourable choice. But due to its huge memory requirement and complex coding, this method poses problems for resource constrained systems like a wireless media sensor network. In this paper a novel method has been introduced which is a hybrid of embedded zero tree (EZW) and set partitioning in a hierarchical tree (SPIHT). The advantages of this method is reduction of memory consumption & the processing time of the compression algorithm. The method is compared with DCT and DWT based image compression techniques for WMSN.

The superiority of the algorithm over its competent algorithm has been demonstrated with the help of parameters like Peak signal to ratio (PSNR), Mean square Error (MSE), packet delivery rate, throughput, compression ratio, and energy consumption.

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Author Biographies

Usha Tiwari, Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India ,Department of EECE, Sharda University, U.P, India

Usha Tiwari (Senior Member, IEEE) is currently Assistant Professor, Department of EECE, Sharda University. Dr. Tiwari is Ph.D. from Jamia Millia Islamia, New Delhi, in Data Compression Schemes for Wireless Sensor Networks. She did M.Tech in Electronics & Communication from MDU Rohtak in year 2010. Dr. Usha graduated with honours from UPTU Lucknow, Uttar Pradesh in 2005, with a degree in the field of Electronics & Instrumentation Engineering. She is holds the 8 th rank in top ten merit list declared by UPTU in 2005.

Shabana Mehfuz, Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India

Shabana Mehfuz received the B.Tech. degree in Electrical Engineering from Jamia Millia Islamia, India, in 1996, the M.Tech. degree in Computer Technology from IIT Delhi, in 2003, and the Ph.D. degree in Computer Engineering from Jamia Millia Islamia, in 2008. She secured First position in the order of merit in B.Tech.(Electrical Engineering). She has been working at the Department of Electrical Engineering, Jamia Millia Islamia, since 1998 and as a Professor since 2014. She has published more than 150 articles in International/National Journals and Conferences. She has guided eleven Ph.D.s and is currently supervising twelve more candidates. She is a Life Member of ISTE, a member of the Institution of Engineers, and a Life Member of the Computer Society of India. She has received grants for research projects from agencies, such as AICTE and UGC. She has acted as the Track Chair for three flagship International conferences held in 2015, 2019, and 2023 which were technically cosponsored by IEEE and Publicity Chair for ETMN 2024. She has been awarded the International Inspirational Women Award 2020 for Best Performer in Government by GISR Foundation and. She has been awarded a national award for excellence in education 2021 in the category of university/college teachers by AMP organization. Her research interests include Cloud Computing, Internet of Things (IoT), Wireless Sensor Networks, Mobile ad-hoc Network, Network Security, Artificial Intelligence and Machine Learning.

Sibaram Khara, Department of EECE, Sharda University, U.P, India

Sibaram Khara received his Ph. D. in engineering from Jadavpur University, Kolkata, in next-generation wireless heterogeneous network-essentially in the area of interworking network and protocol convergence techniques for cellular and WiFi integrated networks. He did PG in Digital Systems from National Institute of Technology, Allahabad. He received Best Paper awards for his analytical model of Cellular/WiFi system (IEEE ADCOM 2008 MIT Chennai and IEEE EWT 2004 (1st), I2IT Pune (3rd)). He was honored as best Research Faculty in the School of Electronics Engineering, VIT University, Vellore, India for year 2010. His research articles are presented at seminars and conferences in many countries, namely, WEAS02 Athens, IEEE VTC06 Melbourne, IEEE PWC07 Prague, IEEE/ACM SAC10 Switzerland, etc. His major research interests cover the areas of cluster based wireless sensor networks, spectrum mobility in cognitive radio system, call admission control in heterogeneous network and carrier aggregation in LTE-A technology.

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Published

2025-08-13

How to Cite

Tiwari, U. ., Mehfuz, S. ., & Khara, S. . (2025). Hybrid Image Compression Scheme for Wireless Media Sensor Network and Contrast With DWT and DCT Schemes. Journal of Mobile Multimedia, 21(3-4), 783–810. https://doi.org/10.13052/jmm1550-4646.213425

Issue

2025: Vol 21 Iss 3-4

Section

WPMC 2024