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  Torrent Based Content Streaming and Image Compression in WSN  
  Authors : Bhushan Mahajan; Dr. A. R. Mahajan; A. Thomas
  Cite as:

 

In Wireless sensing element Network era, numerous physical parameters are perceived using sensors. However the readings, that sensors sense is of terribly little numbers in size. Temperature reading or humidity readings are sensed by sensors. These are simply few numerical digits. Is the sensors doing something great besides transporting the reading (string or numeric value) from one hardware device to a different device? However, what if video, images, audio, big string or massive information is to be perceived and transferred using wireless sensing element network. Will sensors work or become unresponsive? Sadly the answer is wsn sensors will become unresponsive due to the large size of information that is troublesome to handle. This paper analysis is concentrated on a way to build the rapid info delivery and that too without using costly devices.

 

Published In : IJCSN Journal Volume 5, Issue 3

Date of Publication : June 2016

Pages :

Figures :03

Tables : 02

Publication Link : Torrent Based Content Streaming and Image Compression in WSN

 

 

 

Bhushan N. Mahajan : received Master of Engineering degree [M.E.] in WCC in Computer Science department at GHRCE , Nagpur university , India in 2010. He is now working on Video streaming energy and power management topics and various schedule development strategies in WSN . He has a special interest in topology modeling of ad-hoc network i.e. wireless sensor network , wireless mesh network and MANET . He has simulated various network scenario using ns2 network simulator software and other programming languages.

Dr. A. R Mahajan : is working as Head of Information Technology Department, GP, Nagpur. She is BE and ME in Computer Science and Engineering She has completed her PhD in Computer Science and Engineering. She has presented twenty four papers in International Journal and one paper in national Journal She has published Fourty three papers in International conferences and five papers in national conferences .She has more than twenty years of experience. Her area of specialization is compiler optimization, Artificial Intelligence, Parallel algorithms. She is a member of IEEE, ISTE, CSI.

A. Thomas : received M.E. in 2012. She is Head of Computer Science Department at GHRCE, Nagpur. She has completed M.Phil, MTech. Her area of specialization is soft Computing and Data mining.

 

 

 

 

 

 

 

Torrent, TDMA, Image Compression, Video Compression.

The current implementation of Experiment adapts to the changes within the information measure, however once the information measure of the links is unequal, it results in out of order delivery of frames. As an example, if the consumer is 10 times quicker than the Neighbor, and therefore the initial frame is appointed to the Neighbor, then per current theme it's doubtless that frames two to eleven can streamed via the consumer link. Frame one can doubtless be received by the consumer solely once it's streamed frames two to eleven. This out of order delivery of frames might impact the performance of video streaming and should end in augmented rebuffed events. In such a case wherever the consumer and Neighbor links have totally different information measure, then the frame distribution formula might assign the frames additional showing intelligence.

 

 

 

 

 

 

 

 

 

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