MoViF: a lower power consumption live video multicasting framework over ad-hoc networks with terminal collaboration
Live video multicasting over wireless ad hoc networks is a tough problem due to the restricted computational ability of the mobile devices and non-predictive networks status. In this paper, we propose MoViF, a lower power consumption multicasting framework for live video multicasting over ad-hoc net...
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creator | Ke Liang Zaoyang Gong Changxi Zheng Guobin Shen |
description | Live video multicasting over wireless ad hoc networks is a tough problem due to the restricted computational ability of the mobile devices and non-predictive networks status. In this paper, we propose MoViF, a lower power consumption multicasting framework for live video multicasting over ad-hoc networks. The proposed MoViF adopts distributed video coding (DVC) scheme and, as a result, enjoys all the benefits of DVC such as lightweight encoder and built-in error resilient capability. Moreover, MoViF manages to apply an elegant strategy to minimize the overall power consumption for all the receivers while improving their decoding quality by dynamically assign the tasks of aid information extraction to some intermediate powerful nodes in the multicast tree. Simulation results demonstrate that the optimal strategy can lower down the overall power consumption comparing to the random strategy. |
doi_str_mv | 10.1109/ISPACS.2005.1595528 |
format | Conference Proceeding |
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In this paper, we propose MoViF, a lower power consumption multicasting framework for live video multicasting over ad-hoc networks. The proposed MoViF adopts distributed video coding (DVC) scheme and, as a result, enjoys all the benefits of DVC such as lightweight encoder and built-in error resilient capability. Moreover, MoViF manages to apply an elegant strategy to minimize the overall power consumption for all the receivers while improving their decoding quality by dynamically assign the tasks of aid information extraction to some intermediate powerful nodes in the multicast tree. Simulation results demonstrate that the optimal strategy can lower down the overall power consumption comparing to the random strategy.</description><identifier>ISBN: 0780392663</identifier><identifier>ISBN: 9780780392663</identifier><identifier>DOI: 10.1109/ISPACS.2005.1595528</identifier><language>eng</language><publisher>IEEE</publisher><subject>Ad hoc networks ; Collaboration ; Computer networks ; Decoding ; Energy consumption ; Energy management ; Mobile ad hoc networks ; Mobile computing ; Quality management ; Video coding</subject><ispartof>2005 International Symposium on Intelligent Signal Processing and Communication Systems, 2005, p.789-792</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1595528$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,4036,4037,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1595528$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ke Liang</creatorcontrib><creatorcontrib>Zaoyang Gong</creatorcontrib><creatorcontrib>Changxi Zheng</creatorcontrib><creatorcontrib>Guobin Shen</creatorcontrib><title>MoViF: a lower power consumption live video multicasting framework over ad-hoc networks with terminal collaboration</title><title>2005 International Symposium on Intelligent Signal Processing and Communication Systems</title><addtitle>ISPACS</addtitle><description>Live video multicasting over wireless ad hoc networks is a tough problem due to the restricted computational ability of the mobile devices and non-predictive networks status. In this paper, we propose MoViF, a lower power consumption multicasting framework for live video multicasting over ad-hoc networks. The proposed MoViF adopts distributed video coding (DVC) scheme and, as a result, enjoys all the benefits of DVC such as lightweight encoder and built-in error resilient capability. Moreover, MoViF manages to apply an elegant strategy to minimize the overall power consumption for all the receivers while improving their decoding quality by dynamically assign the tasks of aid information extraction to some intermediate powerful nodes in the multicast tree. Simulation results demonstrate that the optimal strategy can lower down the overall power consumption comparing to the random strategy.</description><subject>Ad hoc networks</subject><subject>Collaboration</subject><subject>Computer networks</subject><subject>Decoding</subject><subject>Energy consumption</subject><subject>Energy management</subject><subject>Mobile ad hoc networks</subject><subject>Mobile computing</subject><subject>Quality management</subject><subject>Video coding</subject><isbn>0780392663</isbn><isbn>9780780392663</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkMFOAjEYhJsYExV5Ai59gcW_25ZtvREiSoLRBPVK_t12pdrdkrZAfHtBmcNMMsl8hyFkxGDMGOi7xep1OluNSwA5ZlJLWaoLcgOVAq7LyYRfkWFKX3CUkEIAXJP0HD7c_J4i9eFgI93-eRP6tOu22YWeere3dO-MDbTb-ewaTNn1n7SN2NlDiN807I8TNMUmNLS3-dQlenB5Q7ONnevRH4HeYx0inpC35LJFn-zwnAPyPn94mz0Vy5fHxWy6LByrZC4mLdSg0BitmRBNg9KYhinBKmMQasl4DaiUUFwgq61GgaCVqpisDedtyQdk9M911tr1NroO48_6_Av_BRbyXDo</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Ke Liang</creator><creator>Zaoyang Gong</creator><creator>Changxi Zheng</creator><creator>Guobin Shen</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>MoViF: a lower power consumption live video multicasting framework over ad-hoc networks with terminal collaboration</title><author>Ke Liang ; Zaoyang Gong ; Changxi Zheng ; Guobin Shen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-6f0b08add99144cca5ddc18417dda0b513b0a884834a1be9a4a0988715bd33f23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Ad hoc networks</topic><topic>Collaboration</topic><topic>Computer networks</topic><topic>Decoding</topic><topic>Energy consumption</topic><topic>Energy management</topic><topic>Mobile ad hoc networks</topic><topic>Mobile computing</topic><topic>Quality management</topic><topic>Video coding</topic><toplevel>online_resources</toplevel><creatorcontrib>Ke Liang</creatorcontrib><creatorcontrib>Zaoyang Gong</creatorcontrib><creatorcontrib>Changxi Zheng</creatorcontrib><creatorcontrib>Guobin Shen</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ke Liang</au><au>Zaoyang Gong</au><au>Changxi Zheng</au><au>Guobin Shen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>MoViF: a lower power consumption live video multicasting framework over ad-hoc networks with terminal collaboration</atitle><btitle>2005 International Symposium on Intelligent Signal Processing and Communication Systems</btitle><stitle>ISPACS</stitle><date>2005</date><risdate>2005</risdate><spage>789</spage><epage>792</epage><pages>789-792</pages><isbn>0780392663</isbn><isbn>9780780392663</isbn><abstract>Live video multicasting over wireless ad hoc networks is a tough problem due to the restricted computational ability of the mobile devices and non-predictive networks status. In this paper, we propose MoViF, a lower power consumption multicasting framework for live video multicasting over ad-hoc networks. The proposed MoViF adopts distributed video coding (DVC) scheme and, as a result, enjoys all the benefits of DVC such as lightweight encoder and built-in error resilient capability. Moreover, MoViF manages to apply an elegant strategy to minimize the overall power consumption for all the receivers while improving their decoding quality by dynamically assign the tasks of aid information extraction to some intermediate powerful nodes in the multicast tree. Simulation results demonstrate that the optimal strategy can lower down the overall power consumption comparing to the random strategy.</abstract><pub>IEEE</pub><doi>10.1109/ISPACS.2005.1595528</doi><tpages>4</tpages></addata></record> |
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subjects | Ad hoc networks Collaboration Computer networks Decoding Energy consumption Energy management Mobile ad hoc networks Mobile computing Quality management Video coding |
title | MoViF: a lower power consumption live video multicasting framework over ad-hoc networks with terminal collaboration |
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