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Indexing in Air

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Wireless Networking and Mobile Data Management
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Abstract

This chapter addresses the problem of selective data accesses in a push based data dissemination framework over asymmetric low bandwidth wireless channel. Selective data access mechanism allows a mobile client to anticipate when the data of its interest is expected to appears on a broadcast channel. It tunes in at the opportune time to fetch the requisite data. The basic idea behind the approach is to organize the index with the contents in a way that a client may intermittently probe the index and estimate the distance of the required content from the point of probe. On the basis of calculated distance, the mobile client is able to determine the interval of time between instances of appearance of index and its corresponding content on the broadcast channel. In effect, this approach turns an inherently sequential access medium like wireless channel into a random access medium. This chapter deals with three different air indexing schemes, namely, replicated indexing, exponential indexing and indexing based on hashing.

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References

  1. S. Acharya, M. Franklin, S. Zdonik, Dissemination-based data delivery using broadcast disks. IEEE Pers. Commun. 2(6), 50–60 (2001)

    Article  Google Scholar 

  2. P.V. Argade, S. Aymeloglu, A.D. Berenbaum, M.V. dePaolis, R.T. Franzo, R.D. Freeman, D.A. Inglis, G. Komoriya, H. Lee, T.R. Little, G.A. MacDonald, H.R. McLellan, E.C. Morgan, H.Q. Pham, G.D. Ronkin, R.J. Scavuzzo, T.J. Woch, Hobbit: A High-Performance, Low-Power Microprocessor, Compcon Spring ’93, Digest of Papers (1993), pp. 88–95

    Google Scholar 

  3. A.M. Bernardes, D. Crocce Romano Espinosa, J.A. Soares Tenório, Recycling of batteries: a review of current processes and technologies. J. Power Sour. 130(12), 291–298 (2004)

    Google Scholar 

  4. T. Corman, C. Leiserson, R. Rivest, C. Stein, Introduction to Algorithms (MIT Press, Cambridge MA, USA, 2001)

    Google Scholar 

  5. H. Gracia-Molina, J.D. Ullman, J. Widom, Database Systems: The Complete Book, 2 edn. (Pearson-Prentice Hall, Upper Saddle River, NJ, USA, 2009)

    Google Scholar 

  6. T. Imielinski, S. Viswanathan, B. Badrinath, Power efficient filtering of data on air, The 4th International Conference on Extended Database Technology, (EDBT ’94), vol. LNCS 779 (1994), pp. 245–258

    Google Scholar 

  7. T. Imielinski, S. Viswanthan, Wireless Publishing: Issues and Solutions, ed. by T. Imielinski, H.F. Korth. Mobile Computing, Chap. 11 (Kluwer Academic Publishers, Norwell, MA, USA, 1996), pp. 300–329

    Google Scholar 

  8. T. Imielinski, S. Viswanathan, B.R. Badrinath, Energy efficient indexing on air. SIGMOD Rec. 23(2), 25–36 (1994)

    Google Scholar 

  9. A. Klaiber, The Technology Behind Crusoe Processors, Transmeta Technical Brief (2000)

    Google Scholar 

  10. R.A. Powers, Batteries for low power electronics. Proc. IEEE 83(4), 687–693 (1995)

    Article  Google Scholar 

  11. P. Ramadass, B. Haran, R. White, B.N. Popov, Capacity fade of sony 18650 cells cycled at elevated temperatures: Part i. Cycling performance. J. Power Sour. 112(2), 606–613 (2002)

    Google Scholar 

  12. N.H. Vaidya, S. Hameed, Scheduling data broadcast in asymmetric communication environments. Wireless Netw. 5(3), 171–182 (1999)

    Article  Google Scholar 

  13. K.-L. Wu, P.S. Yu, M.-S. Chen, Energy-Efficient Caching for Wireless Mobile Computing, Proceedings of the Twelfth International Conference on Data Engineering, 1996 (IEEE, 1996), pp. 336–343

    Google Scholar 

  14. J. Xu, W.C. Lee, X. Tang, Q. Gao, S. Li, An error-resilient and tunable distributed indexing scheme for wireless data broadcast. IEEE Trans. Knowled. Data Eng. 18(3), 392–404 (2006)

    Google Scholar 

  15. Y. Yao, X. Tang, E.-P. Lim, A. Sun, An energy-efficient and access latency optimized indexing scheme for wireless data broadcast. IEEE Trans. Knowled. Data Eng. 18(8), 1111–1124 (2006)

    Article  Google Scholar 

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Correspondence to R. K. Ghosh .

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Ghosh, R.K. (2017). Indexing in Air. In: Wireless Networking and Mobile Data Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-3941-6_13

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  • DOI: https://doi.org/10.1007/978-981-10-3941-6_13

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  • Print ISBN: 978-981-10-3940-9

  • Online ISBN: 978-981-10-3941-6

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