The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.04 - April (2012 vol.11)
pp: 603-617
Jun Yao , The University of New South Wales, Sydney
Salil S. Kanhere , The University of New South Wales, Sydney
Mahbub Hassan , The University of New South Wales, Sydney
ABSTRACT
It is widely evidenced that location has a significant influence on the actual bandwidth that can be expected from Wireless Wide Area Networks (WWANs), e.g., 3G. Because a fast-moving vehicle continuously changes its location, vehicular mobile computing is confronted with the possibility of significant variations in available network bandwidth. While it is difficult for providers to eliminate bandwidth disparity over a large service area, it may be possible to map network bandwidth to the road network through repeated measurements. In this paper, we report results of an extensive measurement campaign to demonstrate the viability of such bandwidth maps. We show how bandwidth maps can be interfaced with adaptive multimedia servers and the emerging vehicular communication systems that use on-board mobile routers to deliver Internet services to the passengers. Using simulation experiments driven by our measurement data, we quantify the improvement in Quality of Service (QoS) that can be achieved by taking advantage of the geographical knowledge of bandwidth provided by the bandwidth maps. We find that our approach reduces the frequency of disruptions in perceived QoS for both audio and video applications in high-speed vehicular mobility by several orders of magnitude.
INDEX TERMS
Location-dependent and sensitive, mobile computing, mobile environments, mobile communication systems.
CITATION
Jun Yao, Salil S. Kanhere, Mahbub Hassan, "Improving QoS in High-Speed Mobility Using Bandwidth Maps", IEEE Transactions on Mobile Computing, vol.11, no. 4, pp. 603-617, April 2012, doi:10.1109/TMC.2011.97
REFERENCES
[1] J. Derksen, R. Jansen, M. Maijala, and E. Westerberg, “HSDPA Performance and Evolution,” Ericsson Rev., pp. 117-120, 2006.
[2] F.P. Tso, L. Zhang, J. Tengy, W. Jia, D. Xuany, and F. Zhang, “An Empirical Evaluation on the Performance of Mobile HSPA Networks,” technical report, Dept. of Computer Science, City Univ. of Hong Kong, July 2009.
[3] K. Jang, M. Han, S. Cho, H.-K. Ryu, J. Lee, Y. Lee, and S.B. Moon, “3G and 3.5G Wireless Network Performance Measured from Moving Cars and High-Speed Trains,” Proc. ACM Workshop Mobile Internet through Cellular Networks (MICNET '09), Aug. 2009.
[4] “High Speed Downlink Packet Access (HSDPA); Overall Description; Stage 2,” http://www.3gpp.org/ftp/specs/html-info25308.htm , 2011.
[5] L.D. Cicco, S. Mascolo, and V. Palmisano, “Skype Video Responsiveness to Bandwidth Variations,” Proc. Int'l Workshop Network and Operating Systems Support for Digital Audio and Video (NOSSDAV '08), May 2008.
[6] J. Ormont, J. Walker, S. Banerjee, A. Sridharan, M. Seshadri, and S. Machiraju, “A City-Wide Vehicular Infrastructure for Wide-Area Wireless Experimentation,” Proc. ACM Int'l Workshop Wireless Network Testbeds, Experimental Evaluation and Characterization (WinTech '08), Sept. 2008.
[7] J. Yao, S.S. Kanhere, and M. Hassan, “An Empirical Study of Bandwidth Predictability in Mobile Computing,” Proc. ACM Int'l Workshop Wireless Network Testbeds, Experimental Evaluation and Characterization (WinTech '08), Sept. 2008.
[8] W.L. Tan, F. Lam, and W.C. Lau, “An Empirical Study on 3G Network Capacity and Performance,” Proc. IEEE INFOCOM, May 2007.
[9] TeleGeography, “Global Internet Map,” http://www. telegeography.com/products/ map_internetindex.php, 2011.
[10] TPG, “TPG's DSLAM Coverage Maps,” http://www.tpg.com.aumaps, 2011.
[11] Root Wireless, http:/rootwireless.com/, 2011.
[12] A.J. Nicholson and B.D. Noble, “BreadCrumbs: Forecasting Mobile Connectivity,” Proc. ACM MobiCom, Sept. 2008.
[13] J. Pang, B. Greenstein, M. Kaminsky, D. Mccoy, and S. Seshan, “Wifi-Reports: Improving Wireless Network Selection with Collaboration,” Proc. ACM MobiSys, June 2009.
[14] Arracomm Inc. “iBurst Broadband Wireless - System Overview,” http://www.arraycomm.com/docsiBurstOverview.pdf , 2011.
[15] D.S. Moore and G.P. McCabe, Introduction to the Practice of Statistics, fifth ed. W.H. Freeman & Company, 2009.
[16] J.A. Farrell, The Global Positioning System and Inertial Navigation. Mcgraw-Hill, 1998.
[17] A. Lie and J. Klaue, “Evalvid-RA: Trace Driven Simulation of Rate Adaptive MPEG-4 VBR Video,” ACM/Springer Multimedia Systems J., vol. 14, pp. 33-50, Nov. 2007.
[18] M. Karlsson, M. Bergek, M. Agervald, and K. Axelsson, “A System for Data Transmission via Several Communication Routes,” European Patent EP1175757B1, Jan. 2002.
[19] K. Lai and M. Baker, “Nettimer: A Tool for Measuring Bottleneck Link Bandwidth,” Proc. USENIX Symp. Internet Technologies and Systems, Mar. 2001.
[20] A. LaMarca, Y. Cheng, Y. Chawathe, and J. Krumm, “Accuracy Characterization for Metropolitan-Scale Wi-Fi Localization,” Proc. ACM MobiSys, June 2005.
[21] L. Song, D. Kotz, R. Jain, and X. He, “Evaluating Location Predictors with Extensive Wi-Fi Mobility Data,” Proc. IEEE INFOCOM, Mar. 2004.
[22] J. Yao, S.S. Kanhere, and M. Hassan, “Geo-Intelligent Traffic Scheduling for Multi-Homed On-Board Networks,” Proc. Int'l Workshop Mobility in the Evolving Internet Architecture (MobiArch '09), June 2009.
[23] A. Bhattacharya and S.K. Das, “LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks,” Proc. ACM MobiCom, Aug. 1999.
[24] S. Wenger, U. Chandra, M. Westerlund, and B. Burman, “Codec Control Messages in the RTP Audio-Visual Profile with Feedback (AVPF),” IETF RFC 5104, Feb. 2008.
[25] V. Singh, J. Ott, and I. Curcio, “Rate Adaptation for Conversational 3G Video,” Proc. IEEE INFOCOM, Apr. 2009.
[26] S. Floyd, M. Handley, J. Padhye, and J. Widmer, “TCP Friendly Rate Control (TFRC): Protocol Specification,” IETF RFC 5348, Sept. 2008.
[27] L. Xu and J. Helzer, “Media Streaming via TFRC: An Analytical Study of the Impact of TFRC on User-Perceived Media Quality,” Proc. IEEE INFOCOM, Apr. 2006.
[28] O. Mehani, R. Boreli, and T. Ernst, “Analysis of TFRC in Disconnected Scenarios and Performance Improvements with Freeze-DCCP,” Proc. Int'l Workshop Mobility in the Evolving Internet Architecture (MobiArch '09), June 2009.
[29] J. Yao, S.S. Kanhere, and M. Hassan, “Quality Improvement of Mobile Video Using Geo-Intelligent Rate Adaptation,” Proc. IEEE Wireless Comm. and Networking Conf. (WCNC '10), Apr. 2010.
[30] “Methods for Subjective Determination of Transmission Quality,” ITU Recommendation P.800, Aug. 1996.
[31] Q. Huynh-Thu and M. Ghanbari, “Scope of Validity of psnr in Image/Video Quality Assessment,” Electronics Letters, vol. 44, no. 13, pp. 800-801, 2008.
[32] O. Nemethova, M. Ries, M. Zavodsky, and M. Rupp, “Psnr-Based Estimation of Subjective Time-Variant Video Quality for Mobiles,” Proc. Int'l Conf. Measurement of Audio and Video Quality in Networks (MESAQIN), June 2006.
[33] Z. Orlov, “Network-Driven Adaptive Video Streaming in Wireless Environments,” Proc. IEEE Int'l Symp. Personal, Indoor and Mobile Radio Comm. (PIMRC '08), Sept. 2008.
[34] V. Devarapalli, R. Wakikawa, A. Petrescu, and P. Thubert, “Network Mobility (NEMO) Basic Support Protocol,” IETF RFC 3963, Jan. 2005.
[35] F. Guo, J. Chen, W. Li, and T. cker Chiueh, “Experiences in Building a Multihoming Load Balancing System,” Proc. IEEE INFOCOM, Mar. 2004.
[36] “Pulse Code Modulation (PCM) of Voice Frequencies,” ITU Recommendation G.711, Nov. 1988.
[37] “The E-Model, A Computational Model for Use in Transmission Planning,” ITU Recommendation G.107, Apr. 2009.
[38] “Transmission Impairments Due to Speech Processing,” ITU Recommendation G.113, Nov. 2007.
14 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool