Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Air Indexes for Spatial Databases

  • Baihua Zheng
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_15

Definition

Air indexes refer to indexes employed in wireless broadcast environments to address scalability issue and to facilitate power saving on mobile devices [4]. To retrieve a data object in wireless broadcast systems, a mobile client has to continuously monitor the broadcast channel until the data arrives. This will consume a lot of energy since the client has to remain active during its waiting time. The basic idea of air indexes is that by including index information about the arrival times of data items on the broadcast channel, mobile clients are able to predict the arrivals of their desired data. Thus, they can stay in power saving mode during waiting time and switch to active mode only when the data of their interests arrives.

Historical Background

In spatial databases, clients are assumed to be interested in data objects having spatial features (e.g., hotels, ATM, gas stations). “Find me the nearest restaurant” and “locate all the ATMs that are within 100 miles of my...

This is a preview of subscription content, log in to check access.

Recommended Reading

  1. 1.
    Acharya D, Kumar V. Location based indexing scheme for days. In: Proceedings of the 4th ACM International Workshop on Data Engineering for Wireless and Mobile Access; 2005. p. 17–24.Google Scholar
  2. 2.
    Gedik B, Singh A, Liu L. Energy efficient exact knn search in wireless broadcast environments. In: Proceedings of the 12th ACM International Symposium on Geographic Information Systems; 2004. p. 137–46.Google Scholar
  3. 3.
    Im S, Song M, Hwang C. An error-resilient cell-based distributed index for location-based wireless broadcast services. In: Proceedings of the 5th ACM International Workshop on Data Engineering for Wireless and Mobile Access; 2006. p. 59–66.Google Scholar
  4. 4.
    Imielinski T, Viswanathan S, Badrinath BR. Data on air – organization and access. IEEE Trans Knowl Data Eng. 1997;9(3):353.CrossRefGoogle Scholar
  5. 5.
    Lee WC, Zheng B. Dsi: a fully distributed spatial index for wireless data broadcast. In: Proceedings of the 23rd International Conference on Distributed Computing Systems; 2005. p. 349–58.Google Scholar
  6. 6.
    Xu J, Zheng B, Lee W-C, Lee DL. The d-tree: an index structure for location-dependent data in wireless services. IEEE Trans Knowl Data Eng. 2002;16(12):1526–42.Google Scholar
  7. 7.
    Zheng B, Lee W-C, Lee DL. Spatial queries in wireless broadcast systems. ACM/Kluwer J Wirel Netw. 2004;10(6):723–36.CrossRefGoogle Scholar
  8. 8.
    Zheng B, Xu J, Lee W-C, Lee L. Grid-partition index: a hybrid method for nearest-neighbor queries in wireless location-based services. VLDB J. 2006;15(1):21–39.CrossRefGoogle Scholar
  9. 9.
    Zheng B, Lee W-C, Lee DL. On searching continuous k nearest neighbors in wireless data broadcast systems. IEEE Trans Mobile Comput. 2007;6(7):748–61.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Singapore Management UniversitySingaporeSingapore

Section editors and affiliations

  • Dimitris Papadias
    • 1
  1. 1.Dept. of Computer Science and Eng.Hong Kong Univ. of Science and TechnologyKowloonHong Kong SAR