Multimedia Video Streaming using Advanced Compression and Bandwidth Efficient Technique
S D N Hayath Ali1, M.Giri2
1SDN Hayath Ali*, Dept. of Computer Science, SGT College, Ballari, Karnataka, India.
2M.Giri, Dept. of CSE, Joginpally BR Engineering College, Hyderabad, India. 

Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10919-10922 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4395118419/2019©BEIESP | DOI: 10.35940/ijrte.D4395.118419

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Abstract: Multimedia is a modern way of communication where lots of images and videos are been transmitted over the wireless sensor network, hence managing the transmission of these records plays an important role when it comes to speed in which the multimedia transferred. In this paper compression technique and bandwidth utilization method is used for the efficient data transmission. Using this one can minimize the bandwidth utilization by compressing the video to the best format where packet won’t be lost and complete packet will be transferred to the destination node. Remote sensor systems is a developing class of exceptionally powerful, complex system condition over which a wide scope of uses, for example, living space observing, object following, exactness farming, building checking and military frameworks are assembled. [1]The ongoing applications frequently produce earnest information and one-time occasion notices that should be conveyed dependably. The fruitful conveyance of such data directly affects the general execution of the framework. Solid correspondence is significant for sensor systems. In WSN’s for viable transmission of still pictures, sound, and video data implements thorough necessities on the vitality utilization and throughput. [2] It is given in this to examine the presentation of steering traffic for interactive media traffic in WSN for multi jump nodes from the sink.
Keywords: Bandwidth Efficiency, Multimedia, Nodes, video Streaming, WSN.
Scope of the Article: Heterogeneous and Streaming Data.