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Cross Layer Based Multimedia Transmission using Cache in Mobile Ad hoc Networks
Cross Layer Based Multimedia Transmission using Cache in Mobile Ad hoc Networks
ISSN 2223-4985Journal from gdlhub / 2017-08-14 11:52:32
Oleh : P.D.R.Vijayakumar , T.Ravichandran , International Journal of Information and Communication Technology Research
Dibuat : 2012-06-23, dengan 1 file
Keyword : Cross Layer, Mobile Ad hoc Networks, Caching, Multimedia.
Subjek : Cross Layer Based Multimedia Transmission using Cache in Mobile Ad hoc Networks
Url : http://esjournals.org/journaloftechnology/archive/vol2no5/vol2no5_6.pdf
Sumber pengambilan dokumen : Internet
Mobile ad hoc networks have been the subject of active research for a number of years. Mobile ad hoc networking
(MANET) community provides us with a wealth of technologies that enable the source and the destination nodes to route
the data through a number of intermediate forwarding nodes. This paper proposes a Cross Layer Based Caching technique
for transmitting multimedia data in mobile ad hoc networks (CBC). Cross layer technique is used to increase the packet
delivery ratio by sharing the data using common database. Caching technique the buffer management decreases the
average delay in the data transmission. The simulation results prove that the proposed algorithm (CBC) performs well
when compared to existing methods.
Mobile ad hoc networks have been the subject of active research for a number of years. Mobile ad hoc networking
(MANET) community provides us with a wealth of technologies that enable the source and the destination nodes to route
the data through a number of intermediate forwarding nodes. This paper proposes a Cross Layer Based Caching technique
for transmitting multimedia data in mobile ad hoc networks (CBC). Cross layer technique is used to increase the packet
delivery ratio by sharing the data using common database. Caching technique the buffer management decreases the
average delay in the data transmission. The simulation results prove that the proposed algorithm (CBC) performs well
when compared to existing methods.
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