T. Vairam, R. Parkavi, PSG College of Technology, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2016.09.01
International Journal of Advanced Information and Communication Technology
Received On : July 15, 2019
Revised On : August 20, 2019
Accepted On : September 12, 2019
Published On : October 05, 2019
Volume 06, Issue 10
Pages : 1148-1153
Abstract
Wireless Sensor networks are battery powered due to which their lifetime is precisely limited. In this type of network, the nodes commonly have very limited resources in terms of processing power, bandwidth, and energy. Efficient coding of the image and multimedia content is, therefore, important. One possible way to achieve maximum utilization of those resources is applying compression on sensor event. Usually, processing data consumes much less power than transmitting data in the wireless medium, so it is effective to apply compression before transmitting data for reducing total power consumption by a sensor node. In this paper various energy efficient image compression techniques such as Collaborative image transmission using Sobel edge-detection, JPEG2000 image compression techniques-DWT and DCT, Image Subtraction with Quantization of the image, EBCOT, Face Coding and Spatial Correlation-Based Image Compression are discussed. Different compression techniques deal with different levels of image or multimedia quality, transmission time and memory space. Another important issue is the delay in transmission and this problem can be reduced by using efficient protocols in transport and network layers. In this paper, various routing protocols used in different layers are also discussed.
Keywords
Wireless Sensor Networks, Compression, DWT & DCT, JPEG2000, EBCOT, Face Coding, Routing.
Cite this article
T. Vairam, R. Parkavi, “Efficient Image and Multimedia Transmission through Wireless Sensor Networks - A Survey” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.1148-1153, October 05, 2019.
Copyright
© 2019 T. Vairam, R. Parkavi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.