Providing Reliable Services over Wireless Networks Using a Low Overhead Random Linear Coding Scheme
In this work, we propose a novel intra-flow network coding solution, which is based on the combination of a low overhead Random Linear Coding (RLC) scheme and UDP, to offer a reliable communication service. In the initial protocol specification, the required overhead could be rather large and this h...
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| Vydané v: | Mobile networks and applications Ročník 22; číslo 6; s. 1113 - 1123 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article Publikácia |
| Jazyk: | English |
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Springer US
01.12.2017
Springer Nature B.V |
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| ISSN: | 1383-469X, 1572-8153 |
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| Abstract | In this work, we propose a novel
intra-flow
network coding solution, which is based on the combination of a low overhead Random Linear Coding (RLC) scheme and UDP, to offer a reliable communication service. In the initial protocol specification, the required overhead could be rather large and this had an impact over the observed performance. We therefore include an improvement to reduce such overhead, by decreasing the header length. We describe an analytical model that can be used to assess the performance of the proposed scheme. We also use an implementation within the ns-3 framework to assess the correctness of this model and to broaden the analysis, considering different performance indicators and more complex network topologies. In all cases, the proposed solution clearly outperforms a more traditional approach, in which the TCP protocol is used as a means to offer a reliable communication service. |
|---|---|
| AbstractList | In this work, we propose a novel intra-flow network coding solution, which is based on the combination of a low overhead Random Linear Coding (RLC) scheme and UDP, to offer a reliable communication service. In the initial protocol specification, the required overhead could be rather large and this had an impact over the observed performance. We therefore include an improvement to reduce such overhead, by decreasing the header length. We describe an analytical model that can be used to assess the performance of the proposed scheme. We also use an implementation within the ns-3 framework to assess the correctness of this model and to broaden the analysis, considering different performance indicators and more complex network topologies. In all cases, the proposed solution clearly outperforms a more traditional approach, in which the TCP protocol is used as a means to offer a reliable communication service. In this work, we propose a novel intra-flow network coding solution, which is based on the combination of a low overhead Random Linear Coding (RLC) scheme and UDP, to offer a reliable communication service. In the initial protocol specification, the required overhead could be rather large and this had an impact over the observed performance. We therefore include an improvement to reduce such overhead, by decreasing the header length. We describe an analytical model that can be used to assess the performance of the proposed scheme. We also use an implementation within the ns-3 framework to assess the correctness of this model and to broaden the analysis, considering different performance indicators and more complex network topologies. In all cases, the proposed solution clearly outperforms a more traditional approach, in which the TCP protocol is used as a means to offer a reliable communication service. In this work, we propose a novel intra-flow network coding solution, which is based on the combination of a low overhead Random Linear Coding (RLC) scheme and UDP, to offer a reliable communication service. In the initial protocol specification, the required overhead could be rather large and this had an impact over the observed performance. We therefore include an improvement to reduce such overhead, by decreasing the header length. We describe an analytical model that can be used to assess the performance of the proposed scheme. We also use an implementation within the ns-3 framework to assess the correctness of this model and to broaden the analysis, considering different performance indicators and more complex network topologies. In all cases, the proposed solution clearly outperforms a more traditional approach, in which the TCP protocol is used as a means to offer a reliable communication service. Peer Reviewed |
| Author | Lanza, Jorge Gómez, David Serrat, Joan Aguero, Ramón Garrido, Pablo |
| Author_xml | – sequence: 1 givenname: Pablo surname: Garrido fullname: Garrido, Pablo email: pgarrido@tlmat.unican.es organization: Universidad de Cantabria – sequence: 2 givenname: David surname: Gómez fullname: Gómez, David organization: Universidad de Cantabria – sequence: 3 givenname: Jorge surname: Lanza fullname: Lanza, Jorge organization: Universidad de Cantabria – sequence: 4 givenname: Joan surname: Serrat fullname: Serrat, Joan organization: Universitat Politècnica de Catalunya – sequence: 5 givenname: Ramón surname: Aguero fullname: Aguero, Ramón organization: Universidad de Cantabria |
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| Cites_doi | 10.1145/1282427. 1282400 10.1109/TNET.2003.818197 10.1109/TIT.2002.807285 10.1109/TIT.2006.874390 10.1109/VTCSpring.2014.7022790 10.1109/18.850663 10.1109/PIMRC.2012.6362888 10.1109/VTCFall.2014.6966091 10.1145/2630777.2630781 10.1109/NSysS.2015.7042948 10.1109/TNET.2008.923722 10.1109/49.840210 10.1109/INFCOM.2009.5061931 10.1109/LCOMM.2010.110310.101480 10.1109/VTCSpring.2013.6692495 10.1109/SFCS.2002.1181950 10.1109/ISIT.2003.1228459 10.1109/SCVT.2000.923350 10.1109/icc.2011.5963013 10.1145/381677.381704 10.1109/49.857929 10.1109/ISCC.2014.6912516 |
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| Contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica Universitat Politècnica de Catalunya. MAPS - Management, Pricing and Services in Next Generation Networks |
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| Keywords | IEEE 802.11 Load balance control Random Linear Coding Protocol overhead Wireless networks Packets erasure channels |
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| References | Jain R, Chiu DM, Hawe W (1984) A quantitative measure of fairness and discrimination for resource allocation in shared computer systems. Technical Report TR-301. DEC Research Repor ChachulskiSJenningsMKattiSKatabiDTrading structure for randomness in wireless opportunistic routingSIGCOMM Comput Commun Rev200737416918010.1145/1282427.1282400 Sundararajan J, Shah D, Medard M, Mitzenmacher M, Barros J (2009) Network coding meets TCP. In: INFOCOM 2009. IEEE, pp 280–288. doi:10.1109/INFCOM.2009.5061931 Gomez D, Rodriguez E, Aguero R, Munoz L (2014) Reliable communications over lossy wireless channels by means of the combination of UDP and random linear coding. In: 2014 IEEE symposium on computers and communication (ISCC), pp 1–6. doi:10.1109/ISCC.2014.6912516 Luby M (2002) LT codes. In: The 43rd annual IEEE symposium on foundations of computer science, 2002. Proceedings, pp 271–280. doi:10.1109/SFCS.2002.1181950 Mascolo S, Casetti C, Gerla M, Sanadidi MY, Wang R (2001) Tcp westwood: Bandwidth estimation for enhanced transport over wireless links. In: Proceedings of the 7th annual international conference on mobile computing and networking, MobiCom ‘01. ACM, New York, pp 287–297. doi:10.1145/381677.381704 Krigslund J, Hansen J, Hundeboll M, Lucani D, Fitzek F (2013) CORE: COPE with MORE in wireless meshed networks. In: 2013 IEEE 77th vehicular technology conference (VTC Spring), pp 1–6. doi:10.1109/VTCSpring.2013.6692495 Heide J, Pedersen M, Fitzek F, Medard M (2014) A perpetual code for network coding. In: 2014 IEEE 79th vehicular technology conference (VTC Spring), pp 1–6. doi:10.1109/VTCSpring.2014.7022790 KattiSRahulHHuWKatabiDMédardMCrowcroftJXORs in the air: practical wireless network codingIEEE/ACM Trans Netw200816349751010.1109/TNET.2008.923722 Khurshid A, Kabir M, Das R (2015) Modified TCP newreno for wireless networks. In: 2015 international conference on networking systems and security (NSysS), pp 1–6. doi:10.1109/NSysS.2015.7042948 AhlswedeRCaiNLiSYYeungRNetwork information flowIEEE Trans Inf Theory200046412041216176854210.1109/18.8506630991.90015 KoetterRMédardMAn algebraic approach to network codingIEEE/ACM Trans Netw200311578279510.1109/TNET.2003.818197 Gomez D, Rodríguez E, Agüero R, Muñoz L (2014) Reliable communications over wireless mesh networks with inter and intra-flow network coding. In: Proceedings of the 2014 workshop on Ns-3, WNS3 ’14. ACM, New York, pp 4:1–4:8. doi:10.1145/2630777.2630781 BianchiGPerformance analysis of the IEEE 802.11 distributed coordination functionIEEE J Sel Areas Commun200018353554710.1109/49.840210 The ns-3 network simulator. http://www.nsnam.org LiSYYeungRCaiNLinear network codingIEEE Trans Inf Theory2003492371381196678510.1109/TIT.2002.8072851063.94004 Henderson T., Floyd S, GA, Nishida Y (2004) The NewReno modification to TCP’s fast recovery algorithm. Internet RFCs. ISSN 2070-1721 RFC 6582. http://www.rfc-editor.org/info/rfc6582 Lefevre F, Vivier G (2000) Understanding TCP’s behavior over wireless links. In: Symposium on communications and vehicular technology, 2000. SCVT-200, pp 123–130. doi:10.1109/SCVT.2000.923350 Sorensen C, Lucani D, Fitzek F, Medard M (2014) On-the-fly overlapping of sparse generations: a tunable sparse network coding perspective. In: 2014 IEEE 80th vehicular technology conference (VTC Fall), pp 1–5. doi:10.1109/VTCFall.2014.6966091 Stewart R, Xie Q, Mornmeault K, Sharp H, Taylor T, Rytina I, Kalla M, Zhang L (2000) Stream control transport protocol. Tech. rep., RFC 2960 Ho T, Koetter R, Medard M, Karger D, Effros M (2003) The benefits of coding over routing in a randomized setting. IEEE international symposium on information theory. Proceedings, p 7803. doi:10.1109/ISIT.2003.1228459 Gomez D, Hassayoun S, Herren A, Aguero R, Ros D (2012) Impact of network coding on TCP performance in wireless mesh networks. In: 2012 IEEE 23rd international symposium on personal indoor and mobile radio communications (PIMRC), pp 777–782. doi:10.1109/PIMRC.2012.6362888 Feizi S, Lucani D E, Médard M (2012) Tunable sparse network coding. In: Proceedings of the international Zurich seminar on Comm, pp 107–110 Lucani DE, Pedersen MV, Heide J, Fitzek FHP (2014) Fulcrum network codes: a code for fluid allocation of complexity. CoRR abs/1404.6620. arXiv:1404.6620 ShokrollahiARaptor codesIEEE Trans Inf Theory200652625512567223846410.1109/TIT.2006.8743901298.94147 ZorziMChockalingamARaoRThroughput analysis of TCP on channels with memoryIEEE J Sel Areas Commun20001871289130010.1109/49.857929 Albrecht M (2015) The M4RIE Library—version 20121224. The M4RIE Team. https://bitbucket.org/malb/m4rie Trullols-CrucesOBarcelo-OrdinasJFioreMExact decoding probability under random linear network codingIEEE Commun Lett2011151676910.1109/LCOMM.2010.110310.101480 Heide J, Pedersen M, Fitzek F, Medard M (2011) On code parameters and coding vector representation for practical RLNC. In: 2011 IEEE international conference on communications (ICC), pp 1–5. doi:10.1109/icc.2011.5963013 SY Li (731_CR20) 2003; 49 R Ahlswede (731_CR2) 2000; 46 731_CR16 731_CR14 731_CR12 731_CR13 731_CR10 731_CR11 G Bianchi (731_CR4) 2000; 18 O Trullols-Cruces (731_CR28) 2011; 15 731_CR9 731_CR6 731_CR7 731_CR8 731_CR1 R Koetter (731_CR17) 2003; 11 731_CR3 M Zorzi (731_CR29) 2000; 18 731_CR27 731_CR25 731_CR26 731_CR23 731_CR21 731_CR22 A Shokrollahi (731_CR24) 2006; 52 731_CR18 731_CR19 S Chachulski (731_CR5) 2007; 37 S Katti (731_CR15) 2008; 16 |
| References_xml | – reference: Sundararajan J, Shah D, Medard M, Mitzenmacher M, Barros J (2009) Network coding meets TCP. In: INFOCOM 2009. IEEE, pp 280–288. doi:10.1109/INFCOM.2009.5061931 – reference: Henderson T., Floyd S, GA, Nishida Y (2004) The NewReno modification to TCP’s fast recovery algorithm. Internet RFCs. ISSN 2070-1721 RFC 6582. http://www.rfc-editor.org/info/rfc6582 – reference: Albrecht M (2015) The M4RIE Library—version 20121224. The M4RIE Team. https://bitbucket.org/malb/m4rie – reference: Gomez D, Rodríguez E, Agüero R, Muñoz L (2014) Reliable communications over wireless mesh networks with inter and intra-flow network coding. In: Proceedings of the 2014 workshop on Ns-3, WNS3 ’14. ACM, New York, pp 4:1–4:8. doi:10.1145/2630777.2630781 – reference: Stewart R, Xie Q, Mornmeault K, Sharp H, Taylor T, Rytina I, Kalla M, Zhang L (2000) Stream control transport protocol. Tech. rep., RFC 2960 – reference: Khurshid A, Kabir M, Das R (2015) Modified TCP newreno for wireless networks. In: 2015 international conference on networking systems and security (NSysS), pp 1–6. doi:10.1109/NSysS.2015.7042948 – reference: Sorensen C, Lucani D, Fitzek F, Medard M (2014) On-the-fly overlapping of sparse generations: a tunable sparse network coding perspective. In: 2014 IEEE 80th vehicular technology conference (VTC Fall), pp 1–5. doi:10.1109/VTCFall.2014.6966091 – reference: AhlswedeRCaiNLiSYYeungRNetwork information flowIEEE Trans Inf Theory200046412041216176854210.1109/18.8506630991.90015 – reference: Lucani DE, Pedersen MV, Heide J, Fitzek FHP (2014) Fulcrum network codes: a code for fluid allocation of complexity. CoRR abs/1404.6620. arXiv:1404.6620 – reference: Heide J, Pedersen M, Fitzek F, Medard M (2014) A perpetual code for network coding. In: 2014 IEEE 79th vehicular technology conference (VTC Spring), pp 1–6. doi:10.1109/VTCSpring.2014.7022790 – reference: Luby M (2002) LT codes. In: The 43rd annual IEEE symposium on foundations of computer science, 2002. Proceedings, pp 271–280. doi:10.1109/SFCS.2002.1181950 – reference: Krigslund J, Hansen J, Hundeboll M, Lucani D, Fitzek F (2013) CORE: COPE with MORE in wireless meshed networks. In: 2013 IEEE 77th vehicular technology conference (VTC Spring), pp 1–6. doi:10.1109/VTCSpring.2013.6692495 – reference: ShokrollahiARaptor codesIEEE Trans Inf Theory200652625512567223846410.1109/TIT.2006.8743901298.94147 – reference: LiSYYeungRCaiNLinear network codingIEEE Trans Inf Theory2003492371381196678510.1109/TIT.2002.8072851063.94004 – reference: Heide J, Pedersen M, Fitzek F, Medard M (2011) On code parameters and coding vector representation for practical RLNC. 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ACM, New York, pp 287–297. doi:10.1145/381677.381704 – reference: Trullols-CrucesOBarcelo-OrdinasJFioreMExact decoding probability under random linear network codingIEEE Commun Lett2011151676910.1109/LCOMM.2010.110310.101480 – reference: KoetterRMédardMAn algebraic approach to network codingIEEE/ACM Trans Netw200311578279510.1109/TNET.2003.818197 – reference: BianchiGPerformance analysis of the IEEE 802.11 distributed coordination functionIEEE J Sel Areas Commun200018353554710.1109/49.840210 – reference: ChachulskiSJenningsMKattiSKatabiDTrading structure for randomness in wireless opportunistic routingSIGCOMM Comput Commun Rev200737416918010.1145/1282427.1282400 – reference: KattiSRahulHHuWKatabiDMédardMCrowcroftJXORs in the air: practical wireless network codingIEEE/ACM Trans Netw200816349751010.1109/TNET.2008.923722 – reference: Gomez D, Rodriguez E, Aguero R, Munoz L (2014) Reliable communications over lossy wireless channels by means of the combination of UDP and random linear coding. 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| Snippet | In this work, we propose a novel
intra-flow
network coding solution, which is based on the combination of a low overhead Random Linear Coding (RLC) scheme and... In this work, we propose a novel intra-flow network coding solution, which is based on the combination of a low overhead Random Linear Coding (RLC) scheme and... |
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| SubjectTerms | Coding Communications Engineering Computer Communication Networks Comunicació sense fil, Sistemes de Electrical Engineering Engineering Enginyeria de la telecomunicació IEEE 802.11 IT in Business Load balance control Mathematical models Network topologies Networks Packets erasure channels Protocol overhead Random Linear Coding Serveis telemàtics i de comunicació multimèdia TCP (protocol) Telemàtica i xarxes d'ordinadors Wireless communication systems Wireless networks Àrees temàtiques de la UPC |
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| Title | Providing Reliable Services over Wireless Networks Using a Low Overhead Random Linear Coding Scheme |
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