dc.creatorChaves L.J.
dc.creatorMadeira E.R.M.
dc.creatorGarcia I.C.
dc.date2013
dc.date2015-06-25T19:15:51Z
dc.date2015-11-26T15:13:33Z
dc.date2015-06-25T19:15:51Z
dc.date2015-11-26T15:13:33Z
dc.date.accessioned2018-03-28T22:23:41Z
dc.date.available2018-03-28T22:23:41Z
dc.identifier
dc.identifierJournal Of The Brazilian Computer Society. , v. 19, n. 4, p. 493 - 510, 2013.
dc.identifier1046500
dc.identifier10.1007/s13173-013-0113-y
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84893093669&partnerID=40&md5=628f95b33c179b25789246e5641f305f
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/89345
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/89345
dc.identifier2-s2.0-84893093669
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1258669
dc.descriptionWireless local area networks have become vastly popular, and IEEE 802.11 is the chosen standard for almost all wireless devices. This standard specifies several modulation and channel coding techniques that must be implemented by all wireless interfaces to adapt to changes in wireless channels. As a result, these interfaces support multiple transmission data rates. However, this standard does not define how to dynamically select the appropriate data rate; instead, manufacturers can design and implement their own algorithms. Although several solutions have been proposed in the literature, only a few are used in practice. Moreover, their performance is still limited to specific conditions, such as highly dynamic environments. To tackle these challenges, this paper introduces CogTRA, which is a deployable mechanism built upon an existing cognitive framework called CogProt. Due to its self-adjustment functionality, CogTRA can work not only in stable but also in dynamic environments. It was implemented in the OpenWrt Linux distribution for embedded devices and evaluated through experiments using real network equipment. The results underline performance benefits with respect to existing data rate adaptation algorithms, with CogTRA exhibiting better performance especially in such dynamic networks. © 2013 The Brazilian Computer Society.
dc.description19
dc.description4
dc.description493
dc.description510
dc.description(2007) IEEE Standard For Information Technology- Telecommunications and Information Exchange Between Systems-local and Metropolitan Area Networks-specific Requirements-Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, , 802.11-2007, Technical report. IEEE Computer Society, New York. doi:10.1109/IEEESTD.2007. 373646. Revision of IEEE Std. 802.11-1999
dc.descriptionAncillotti, E., Bruno, R., Conti, M., Experimentation and performance evaluation of rate adaptation algorithms in wireless mesh networks (2008) PE-WASUN: Proceedings of the ACM Symposium On Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous, Networks, pp. 7-14. , doi:10.1145/1454609.1454612
dc.descriptionBiaz, S., Wu, S., Rate adaptation algorithms for IEEE 802.11 networks: A survey and comparison (2008) ISCC: Proceedings of the IEEE Symposium On Computers And, Communications, pp. 130-136. , doi:10.1109/ISCC.2008.4625680
dc.descriptionBicket, J.C., (2005) Bit-rate Selection In Wireless Networks, , http://pdos.csail.mit.edu/papers/jbicket-ms.pdf, Master's thesis. Institute of Technology (MIT), Department of Electrical Engineering and Computer Science, Massachusetts
dc.descriptionBoyd, J.R., (1995) The Essence of Wining and Losing, , http://pogoarchives.org/m/dni/john_boyd_compendium/essence_of_winning_losing.pdf
dc.descriptionChaves, L., Malheiros, N., Madeira, E., Garcia, I., Kliazovich, D., A cognitive rate adaptation mechanism for wireless networks (2009) MACE: Proceedings of the IEEE International Workshop On Modelling Autonomic Communication Environments, pp. 58-71. , Springer, Berlin, doi:10.1007/978-3-642-05006-0_5
dc.descriptionCogProt-the Cognitive Framework, , http://www.lrc.ic.unicamp.br/, cogprot
dc.descriptionCogTRA-cognitive Transmission Rate Adaptation For OpenWrt, , http://code.google.com/p/cogtra
dc.descriptionChen, X., Gangwal, P., Qiao, D., Ram: Rate adaptation in mobile environments (2012) IEEE Trans Mobile Comput, 11 (3), pp. 464-477. , doi:10.1109/TMC.2011.91
dc.descriptionErez, U., Trott, M.D., Wornell, G.W., Rateless coding for Gaussian channels (2012) IEEE Trans Inf Theory, 58 (2), pp. 530-547. , doi:10. 1109/TIT.2011.2173242
dc.descriptionGudipati, A., Katti, S., Strider: Automatic rate adaptation and collision handling. ACM SIGCOMM (2011) Comput Commun Rev, 41 (4), pp. 158-169. , doi:10.1145/2043164.2018455
dc.descriptionHaratcherev, I., Langendoen, K., Lagendijk, R., Sips, H., Hybrid rate control for IEEE 802.11 (2004) MobiWac: Proceedings of the International Workshop On Mobility Management and Wireless Access Protocols, pp. 10-18. , doi:10.1145/1023783.1023787
dc.descriptionHeusse, M., Rousseau, F., Berger-Sabbatel, G., Duda, A., Performance anomaly of 802.11b (2003) INFOCOM: Proceedings of the International Conference On Computer Communications, 2, pp. 836-843
dc.descriptionHolland, G., Vaidya, N., Bahl, P., A rate-adaptive MAC protocol for multi-hop wireless networks (2001) MobiCom: Proceedings of the International Conference On Mobile Computing and Networking, pp. 236-251. , doi:10.1145/381677.381700
dc.descriptionHou, J.C., Park, K.J., Kim, T.S., Kung, L.C., Medium access control and routing protocols for wireless mesh networks (2008) Wireless Mesh Networks: Architectures and Protocols, Chap, 4, pp. 77-111. , Hossain E, Leung K, Springer, Berlin
dc.descriptionhttp://iperf.sourceforge.net, IperfJain, R.K., Chiu, D.M.W., Hawe, W.R., (1984) A Quantitative Measure of Fairness and Discrimination For Resource Allocation In Shared Computer Systems, 301. , http://arxiv.org/abs/cs.NI/9809099, Technical report, Digital Equipment Corporation
dc.descriptionJoshi, T., Ahuja, D., Singh, D., Agrawal, D.P., SARA: Stochastic automata rate adaptation for IEEE 802.11 networks (2008) IEEE Trans Parallel Distrib Syst, 19 (11), pp. 1579-1590. , doi:10.1109/TPDS.2007. 70814
dc.descriptionJudd, G., Wang, X., Steenkiste, P., Efficient channel-aware rate adaptation in dynamic environments (2008) MobSys: Proceedings of the International Conference On Mobile Systems, Applications, and Services, pp. 118-131. , doi:10.1145/1378600.1378615
dc.descriptionKamerman, A., Monteban, L., Wavelan-II: A high-performance wireless LAN for the unlicensed band (1997) Bell Labs Tech J, 2 (3), pp. 118-133. , doi:10.1002/bltj.2069
dc.descriptionKim, J., Kim, S., Choi, S., Qiao, D., CARA: Collision-aware rate adaptation for IEEE 802.11 WLANs (2006) INFOCOM: Proceedings of the International Conference On Computer Communications, pp. 1-11. , doi:10.1109/INFOCOM.2006.316
dc.descriptionKim, T.S., Lim, H., Hou, J.C., Improving spatial reuse through tuning transmit power, carrier sense threshold, and data rate in multihop wireless networks (2006) MobiCom: Proceedings of the International Conference On Mobile Computing and Networking, pp. 366-377. , doi:10.1145/1161089.1161131
dc.descriptionKliazovich, D., Malheiros, N., Fonseca, N.L.S., Granelli, F., Madeira, E., CogProt: A framework for cognitive configuration and opti mization of communication protocols (2009) Mobilight: Proceedings of the International Conference On Mobile Lightweight Wireless Systems, pp. 280-291. , doi:10.1007/978-3-642-16644-0_25
dc.descriptionKoci, N., Marina, M., Understanding the role of multi-rate retry mechanism for effective rate control in 802.11 wireless lans (2009) LCN: Proceedings of IEEE Conference On Local, Computer Networks, pp. 305-308. , doi:10.1109/LCN.2009.5355094
dc.descriptionLacage, M., Manshaei, M.H., Turletti, T., IEEE 802.11 rate adaptation: A practical approach (2004) MSWiM: Proceedings of the International Symposium On Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 126-134. , doi:10.1145/1023663. 1023687
dc.descriptionLakshmanan, S., Sanadhya, S., Sivakumar, R., On link rate adaptation in 802.11n WLANs (2011) INFOCOM: Proceedings of the International Conference On Computer Communications, pp. 366-370. , doi:10.1109/INFCOM.2011.5935183
dc.descriptionLoiacono, M., Rosca, J., Trappe, W., The snowball effect: Detailing performance anomalies of 802.11 rate adaptation (2007) GLOBE-COM: Proceedings of the IEEE Global Telecommunications Conference, pp. 5117-5122. , doi:10.1109/GLOCOM.2007.970
dc.descriptionMalheiros, N., Kliazovich, D., Granello, F., Madeira, E., Fonseca, N., A Cognitive Approach For Cross-layer Performance Management (2010) GLOBECOM: Proceedings of the IEEE Global Telecom Munications, pp. 1-5. , doi:10.1109/GLOCOM.2010. 5684313
dc.descriptionOpenWrt Wireless Freedom, , http://openwrt.org
dc.descriptionORBIT: Open-access Research Testbed For Next-generation Wireless Networks, , http://www.orbit-lab.org
dc.descriptionPerry, J., Balakrishnan, H., Shah, D., Rateless spinal codes (2011) HotNets-X: Proceedings of the ACM Workshop On Hot Topics In Networks, pp. 61-66. , doi:10.1145/2070562.2070568
dc.descriptionQiao, D., Choi, S., Shin, K., Goodput analysis and link adaptation for IEEE 802.11a wireless LANs (2002) IEEE Trans Mobile Comput, 1 (4), pp. 278-292. , doi:10.1109/TMC.2002.1175541
dc.descriptionRamachandran, K., Kremo, H., Gruteser, M., Spasojevic, P., Seskar, I., Scalability analysis of rate adaptation techniques in congested IEEE 802.11 networks: An ORBIT testbed comparative study (2007) WoWMoM: Proceedings of the IEEE International Symposium On a World of Wireless, Mobile and Multimedia, Networks, pp. 1-12. , doi:10.1109/WOWMOM.2007.4351717
dc.descriptionShankar, P., Nadeem, T., Rosca, J., Iftode, L., Cars: Context-aware rate selection for vehicular networks (2008) ICNP: Proceedings of the IEEE International Conference On Network Protocols, pp. 1-12. , doi:10.1109/ICNP.2008.4697019
dc.descriptionShannon, C.E., Communication in the presence of noise (1949) IRE Proceedings of the Institute of Radio Engineers, 37 (1), pp. 10-21
dc.descriptionSmithies, D., (2005) Minstrel Rate Control Algorithm, , http://linuxwireless.org/en/developers/Documentation/mac80211/RateControl/minstrel
dc.descriptionThomas, R.W., Friend, D.H., Dasilva, L.A., Mackenzie, A.B., Cognitive networks: Adaptation and learning to achieve end-to-end performance objectives (2006) IEEE Commun Mag, 44 (12), pp. 51-57. , doi:10. 1109/MCOM.2006.273099
dc.description(2011) Federico II, , http://www.grid.unina.it/software/ITG/, Universita' degli Studi di Napoli, D-ITG, distributed internet traffic generator
dc.descriptionXia, Q., Hamdi, M., Smart sender: A practical rate adaptation algorithm for multirate, IEEE 802.11 WLANs (2008) IEEE Trans Wirel Commun, 7 (5), pp. 1764-1775. , doi:10.1109/TWC.2008.061047
dc.descriptionYin, W., Bialkowski, K., Indulska, J., Hu, P., Evaluations of mad-wifi mac layer rate control mechanisms (2010) IWQoS: Proceedings of the International Workshop On Quality of Service, pp. 1-9. , doi:10. 1109/IWQoS.2010.5542745
dc.descriptionYin, W., Hu, P., Indulska, J., Bialkowski, K., Performance of mac80211 rate control mechanisms (2011) MSWiM: Proceedings of the International Conference On Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 427-436. , doi:10.1145/ 2068897.2068970
dc.languageen
dc.publisher
dc.relationJournal of the Brazilian Computer Society
dc.rightsfechado
dc.sourceScopus
dc.titleCogtra: A Deployable Mechanism For Cognitive Transmission Rate Adaptation In Ieee 802.11 Networks
dc.typeArtículos de revistas


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