skip to main content
10.1145/1298091.1298111acmconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
Article

Interpolating the air for optimizing wireless data broadcast

Published: 22 October 2007 Publication History

Abstract

Energy conservation and access efficiency are two fundamental though competing goals inbroadcast wireless networks. To tackle the energy penalty from sequential searching, theinterleaving of index with data items has been proposed. The current broadcast indexes present significant shortcomings. This article proposes a novel parameterized air index, the interpolation index, which is a tunable structure able to optimize the latency with the tuning time kept at a given amount, and vice versa. Theoretical and experimental results attest that the novel indexing structure outperforms the state-of-the-art air indexing scheme.

References

[1]
D. Amarmend, M. Aritsugi, and Y. Kanamori. An air index for data access over multiple wireless broadcast channels. In Proceedings of the IEEE International Conference on Data Engineering (ICDE), page 135, 2006.
[2]
M.-S. Chen, K.-L. Wu, and P. S. Yu. Optimizing index allocation for sequential data broadcasting in wireless mobile computing. IEEE Transactions on Knowledge and Data Engineering, 15(1):161--173, 2003.
[3]
P. Desnoyers, D. Ganesan, and P. Shenoy. TSAR: A two tier sensor storage architecture using interval skip graphs. In Proceedings of the ACM International Conference on Embedded Networked Sensor Systems (SenSys), pages 39--50, 2005.
[4]
L. M. Feeney. Energy efficient communication in ad hoc wireless networks. In SBasagni, MConti, SGiordano, and IStojmenovic, editors, Mobile Ad Hoc Networking, pages 301--327. IEEE/Wiley, 2004.
[5]
B. Greenstein, S. Ratnasamy, S. Shenker, R. Govindan, and D. Estrin. DIFS: A distributed index for features in sensor networks. Ad Hoc Networks, 1(2--3): 333--349, 2003.
[6]
C.-H. Hsu, GLee, and ALP. Chen. Index and data allocation on multiple broadcast channels considering data access frequencies. In Proceedings of the Conference on Mobile Data Management (MDM), pages 87--93, 2002.
[7]
Q. L. Hu, W.-C. Lee, and D. L. Lee. Indexing techniques for wireless data broadcast under data clustering and scheduling. In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), pages 351--358, 1999.
[8]
Q. L. Hu, W.-C. Lee, and D. L. Lee. Power conservative multi-attribute queries on data broadcast. In Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 157--166, 2000.
[9]
Q. L. Hu, W.-C. Lee, and D. L. Lee. A hybrid index technique for power efficient data broadcast. Distributed and Parallel Databases, 9(2):151--177, 2001.
[10]
T. Imielinski, S. Viswanathan, and B. R. Badrinath. Power efficient filtering of data on air. In Proceedings of the International Conference on Extending Data Base Technology (EDBT), pages 245--258, 1994.
[11]
T. Imielinski, S. Viswanathan, and B. R. Badrinath. Data on air: Organization and access. IEEE Transactions on Knowledge and Data Engineering, 9(3):353--372, 1997.
[12]
S. Jung, B. Lee, and S. Pramanik. A tree-structured index allocation mathod with replication over multiple broadcast channels in wireless environments. IEEE Transactions on Knowledge and Data Engineering, 17(3):311--325, 2005.
[13]
W.-C. Lee and DL. Lee. Using signature techniques for information filtering in wireless and mobile environments. Distributed and Parallel Databases, 4(3):205--227, 1996.
[14]
X. Li, Y.-J. Kim, R. Govindan, and W. Hong. Multi-dimensional range queries in sensor networks. In Proceedings of the ACM Conference on Embedded Networked Sensor Systems (SenSys), pages 63--75, 2003.
[15]
K. Mehlhorn. Data Structures & Algorithms, I: Sorting and Searching. Springer-Verlag, Berlin, 1984.
[16]
A. Meka and A. K. Singh. DIST: A distributed spatio-temporal index structure for sensor networks. In Proceedings of the ACM Conference on Information and Knowledge Management (CIKM), pages 139--146, 2005.
[17]
Y. Perl, A. Itai, and H. Avni. Interpolation search -- A log log N search. Communications of the ACM, 21(7):550--553, 1978.
[18]
Y. Perl and E. M. Reingold.Understanding the complexity of interpolation search. Information Processing Letters, 6(6):219--222, 1977.
[19]
K. Prabhakara, K. Hua, and J. Oh. Multi-level multi-channel air cache designs for broadcasting in a mobile environment. In Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 167--176, 2000.
[20]
S. Ratnasamy, B. Karp, S. Shenker, D. Estrin, R. Govindan, L. Yin, and F. Yu. Data-centric storage in sensornets with GHT: A geographic hash table. ACM Mobile Networks and Applications, 8(4): 427--442, 2003.
[21]
A. Seifert and J.-J. Hung. FlexInd: A flexible and parameterizable air-indexing scheme for data broadcast systems. In Proceedings of the International Conference on Extending Data Base Technology (EDBT), volume 3896 of Lecture Notes on Computer Science, pages 902--920. Springer, 2006.
[22]
N. Shivakumar and S. Venkatasubramanian. Efficient indexing for broadcast based wireless systems. ACM/Baltzer Mobile Networks and Applications, 1(4):433--446, 1996.
[23]
K. L. Tan and J. X. Yu. Energy efficient filtering of nonuniform broadcast. In Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS), pages 520--527, 1996.
[24]
M. A. Viredaz, L. S. Brakmo, and W. R. Hamburgen. Energy management on handheld devices. ACM Queue, 1(7):44--52, 2003.
[25]
J. Xu, W.-C. Lee, X. Tang, Q. Gao, and S. Li. An error-resilient and tunable distributed indexing scheme for wireless data broadcast. IEEE Transactions on Knowledge and Data Engineering, 18(3):392--404, 2006.
[26]
Y. Yao, X. Tang, E.-P. Lim, and A. Sun. An energy--efficient and access latency optimized indexing scheme for wireless data broadcast. IEEE Transactions on Knowledge and Data Engineering, 18(8):1111--1124, 2006.

Cited By

View all
  • (2014)Evaluation and comparison of various indexing schemes in single-channel broadcast communication environmentKnowledge and Information Systems10.1007/s10115-013-0643-940:2(375-409)Online publication date: 1-Aug-2014
  • (2010)The integration of telecommunication and dissemination networksInternational Journal of Communication Networks and Distributed Systems10.1504/IJCNDS.2010.0324184:3(331-344)Online publication date: 1-Apr-2010
  • (2009)Optimizing Wireless Channels through a Push-Based SystemProceedings of the 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing10.1109/UIC-ATC.2009.104(268-272)Online publication date: 7-Jul-2009
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
MobiWac '07: Proceedings of the 5th ACM international workshop on Mobility management and wireless access
October 2007
196 pages
ISBN:9781595938091
DOI:10.1145/1298091
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2007

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. energy consumption
  2. indexing
  3. interpolation search
  4. latency
  5. mobile computing
  6. tuning time
  7. wireless networks

Qualifiers

  • Article

Conference

MSWiM07
Sponsor:

Acceptance Rates

Overall Acceptance Rate 83 of 272 submissions, 31%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 20 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2014)Evaluation and comparison of various indexing schemes in single-channel broadcast communication environmentKnowledge and Information Systems10.1007/s10115-013-0643-940:2(375-409)Online publication date: 1-Aug-2014
  • (2010)The integration of telecommunication and dissemination networksInternational Journal of Communication Networks and Distributed Systems10.1504/IJCNDS.2010.0324184:3(331-344)Online publication date: 1-Apr-2010
  • (2009)Optimizing Wireless Channels through a Push-Based SystemProceedings of the 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing10.1109/UIC-ATC.2009.104(268-272)Online publication date: 7-Jul-2009
  • (2008)Energy Adaptive Approach In a Multi-Channel Dissemination-Based Network2008 New Technologies, Mobility and Security10.1109/NTMS.2008.ECP.44(1-6)Online publication date: Nov-2008
  • (2008)A power efficient technique for multi-channel dissemination networks2008 Third International Conference on Digital Information Management10.1109/ICDIM.2008.4746792(357-362)Online publication date: Nov-2008
  • (2008)An efficient nonuniform index in the wireless broadcast environmentsJournal of Systems and Software10.1016/j.jss.2008.01.03681:11(2091-2103)Online publication date: 1-Nov-2008

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media