Abstract
This paper functionally designs a broadcast scheduler for the advertisement system built on top of a digital multimedia broadcasting system for fast moving vehicles. The design goals lie in improving the advertisement efficiency by giving a higher frequency to the advertisement item more users are likely to be interested in. To overcome the lack of upstream communication paths and limited bandwidth, path prediction and past history analysis techniques are exploited in estimating the current vehicle distribution. The inference engine periodically adjusts the broadcast frequency of each item so as to meet the bandwidth constraint, taking into account the estimated vehicle distribution along with the position associated with each advertisement. According to the assigned frequency, the periodic generator fills the carousel queue, from which broadcast item is taken one by one.
This research was supported by KIAT under the Regional Industry and Technology Development Project and also by the MKE through the project of Region technical renovation, Republic of Korea.
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References
Manson, G., Berrani, S.: Automatic TV Broadcast Structuring. International Journal of Digital Multimedia Broadcasting (2010)
Lee, J., Kim, H., Shin, I., Cho, J., Lee, S., Kwak, H.: Design of an Advertisement Scenario for Electric Vehicles Using Digital Multimedia Broadcasting. In: Kim, T.-h., Stoica, A., Chang, R.-S. (eds.) SUComS 2010. CCIS, vol. 78, pp. 288–291. Springer, Heidelberg (2010)
Krumm, J.: Ubiquitous Advertising: The Killer Application for the 21st Century. IEEE Pervasive Computing Magazine 10(1) (2011)
Guille, C., Gross, G.: A Conceptual Framework for the Vehicle-to-grid (V2G) Implementation. Energy Policy 37, 4379–4390 (2009)
Langberg, M., Sprintson, A., Bruck, J.: Optimal Universal Scheduler for Discrete Broadcast. IEEE Transactions on Information Theory 54(9), 4365–4372 (2008)
Foltz, K., Xu, L., Bruck, J.: Scheduling for Efficient Data Broadcast over Two Channels. In: Proc. of International Symposium on Information Theory, pp. 113–116 (2004)
Chang, J., Erlebach, T., Gailis, R., Khuller, S.: Broadcast Scheduling: Algorithms and Complexity. In: ACM-SIAM Symposium on Discrete Algorithms (2008)
ISO/TS 18234-2, Traffic and Travel Information (TTI), TTI via Transport Protocol Expert Group (TPEG) data-streams, Part 2: Syntax, Semantics and Framing Structure (SSF) (2004)
Froehilch, J., Krumm, J.: Route Prediction from Trip Observations. In: Society of Automotive Engineers (SAE) World Congress (2008)
Krumm, J., Horvitz, E.: Predestination: Inferring destinations from partial trajectories. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 243–260. Springer, Heidelberg (2006)
Won, J., Kim, S., Baek, J., Lee, J.: Trajectory Clustering in Road Network Environment. In: IEEE Symposium on Computational Intelligence and Data Mining, pp. 299–305 (2009)
Kim, S., Won, J., Kim, J., Shin, M., Lee, J., Kim, H.: Path Prediction of Moving Objects on Road Networks through Analyzing Past Trajectories. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part II. LNCS (LNAI), vol. 4693, pp. 379–389. Springer, Heidelberg (2007)
Lee, J.: Traveling Pattern Analysis for the Design of Location-Dependent Contents based on the Taxi Telematics System. In: International Conference on Multimedia, Information Technology and its Applications, pp. 148–151 (2008)
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Lee, J., Kim, HJ., Ko, Jh., Hong, Y. (2011). Carousel Scheduling of Advertisement Contents on Digital Multimedia Broadcasting. In: Chang, RS., Kim, Th., Peng, SL. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2011. Communications in Computer and Information Science, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23948-9_7
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DOI: https://doi.org/10.1007/978-3-642-23948-9_7
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