skip to main content
10.1145/346855.346867acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
Article
Free Access

Prefetching policies for energy saving and latency reduction in a wireless broadcast data delivery system

Authors Info & Claims
Published:11 August 2000Publication History

ABSTRACT

Periodic data broadcasting on a wireless channel has been proposed as an effective data dissemination technique for mobile users. With this technique, users access data by simply monitoring the channel until the required data appear in the broadcast. Hence, this access mode may be advantageous in a wireless environment with respect to the traditional client-server access mode, since it consumes less bandwidth and avoids energy-expensive requests sending. Potential drawbacks of this access mode are the latency caused by the wait for the required data in the broadcast, and the energy consumption caused by active listening on the wireless channel. Some techniques have been proposed to alleviate these two drawbacks. In particular, the use of prefetching has been proposed to reduce the latency experienced by a user. However, prefetching could have a negative effect on energy consumption, since it could actually increase the number of channel accesses. We define a general analytical model to investigate the impact of prefetching on both latency and energy consumption in a wireless broadcast data delivery system, with the goal of determining policies characterized by a good tradeoff between the two goals of reducing latency and saving energy, and then compare by simulation two policies derived from the model results with a policy proposed in the literature.

References

  1. 1.S. Acharya, R. Alonso, M. Franklin. S. Zdonik "Broadcast disks: data management for asymmetric communication environments" Prec. of ACM SIGMOD, Santa Cruz. CA, USA, May 1995 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.S. Acharya, M. Franklin. S. Zdonik "Prefetching from a broadcast disk" Proc. of Int. Conf. on Data Engineering. New Orleans, LA, USA, Feb. 1996 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.M.H. Ammar, J.W. Wong "On the optimality of cyclic transmission in teletext systems" IEEE Trans. on Communications, vol. COM-35 Jan. 1987, pp. 68-73Google ScholarGoogle ScholarCross RefCross Ref
  4. 4.A. Datta, D.E. VanderMeer, A. Celik, V. Kumar "Adaptive broadcast protocols to support efficient and energy conserving retrieval from database in mobile computing environments" Proc. 13th Int. Conf. on Data Engineering, Apr. 1997 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5.W. Feller, An Introduction to Probability Theory and Its Applications, vol. 1, J. Wiley, 1968Google ScholarGoogle Scholar
  6. 6.IEEE Personal Communications (special issue on energy management in personal communications and mobile computing), vol. 5, no. 3 June 1998Google ScholarGoogle Scholar
  7. 7.T. Imielinski, S. Viswanathan "Adaptive wireless information systems" Prec. SIGDBS (Special Interest Group in DataBase Systems) Conference, Tokyo, Japan, Oct. 1994Google ScholarGoogle Scholar
  8. 8.T. Imielinski, S, Viswanathan, B.R. Badrinath "Data on air: organization and access" IEEE Trans. on Knowledge and Data Engineering, vol. 9, no. 3, May/June 1997, pp. 353-372 Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9.D.E. Knuth, The Art of Computer Programming, vol. 3, 2nd ed., Addison-Wesley, 1981 Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10.R. Kravets, P. Krishnan "Power management techniques for mobile communications", in 4th ACM/IEEE Conf. on Mobile Computing and Networking, Dallas, TX, Oct. 1998 Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 11.W.-C. Lee, D.L. Lee "Signature caching techniques for information filtering in mobile environments" ACM/Baltzer Wireless Networks, vol. 5, no. 1, Jan. 1999, pp. 57-67 Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 12.M. Stemm, R.H. Katz "Measuring and reducing energy consumption of network interfaces in hand-held devices" IEICE Trans. on Communications (special issue on Mobile Computing), 1997Google ScholarGoogle Scholar
  13. 13.C.-J. Su, L. Tassiulas "Broadcast scheduling for information distribution" in Proc. IEEE INFOCOM "97, Kobe, Japan, Apr. 1997 Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. 14.C.-J. Su, L. Tassiulas "Joint broadcast scheduling and users's cache management for efficient information delivery" Proc. of 4th ACM/IEEE Int. Conf. on Mobile Computing and Networking (MOBICOM '98), Dallas, TX, USA, Oct. 1998 Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. 15.L. Tassiulas, C.-J. Su "Optimal memory management strategies for a mobile user in a broadcast data delivery system" IEEE J. on Sel. Areas in Communications, vol. 15, no. 7, Sept. 1997, pp. 1226-1238 Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. 16.S. Trapani, private communicationGoogle ScholarGoogle Scholar
  17. 17.A. Tits "FSQP" in http : //www. isr. umd.edu/Labs/ CACSE/FSQP/fsqp. htmlGoogle ScholarGoogle Scholar

Index Terms

  1. Prefetching policies for energy saving and latency reduction in a wireless broadcast data delivery system

                Recommendations

                Comments

                Login options

                Check if you have access through your login credentials or your institution to get full access on this article.

                Sign in
                • Published in

                  cover image ACM Conferences
                  MSWIM '00: Proceedings of the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
                  August 2000
                  128 pages
                  ISBN:1581133049
                  DOI:10.1145/346855

                  Copyright © 2000 ACM

                  Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

                  Publisher

                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 11 August 2000

                  Permissions

                  Request permissions about this article.

                  Request Permissions

                  Check for updates

                  Qualifiers

                  • Article

                  Acceptance Rates

                  MSWIM '00 Paper Acceptance Rate13of44submissions,30%Overall Acceptance Rate398of1,577submissions,25%

                PDF Format

                View or Download as a PDF file.

                PDF

                eReader

                View online with eReader.

                eReader