poster

Reverse k-Nearest Neighbor monitoring on mobile objects

Authors:

Hans-Peter Kriegel,

Andreas ZüfleAuthors Info & Claims

GIS '10: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 494 - 497

https://doi.org/10.1145/1869790.1869870

Published: 02 November 2010 Publication History

Abstract

In this paper we focus on the problem of continuously monitoring the set of Reverse k-Nearest Neighbors (RkNNs) of a query object in a moving object database using a client server architecture. The RkNN monitoring query computes for a given query object q, the set RkNN(q) of objects having q as one of their k-nearest neighbors for each point in time. In our setting the central server can poll the exact positions of the clients if needed. However in contrast to most existing approaches for this problem we argue that in various applications, the limiting factor is not the computational time needed but the amount of traffic sent via the network. We propose an approach that minimizes the amount of communication between clients and central server by an intelligent approximation of the position of the clients. Additionally we propose several poll heuristics in order to further decrease the communication costs. In the experimental section we show the significant impact of our proposed improvements to our basic algorithm.

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Cited By

Hidayat ACheema M(2017)QUIET ZONEProceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics10.1145/3152178.3152179(1-8)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3152178.3152179
Ammar KNascimento M(2015)Continuous Median Queries in Wireless Sensor NetworksProceedings of the 2015 16th IEEE International Conference on Mobile Data Management - Volume 0110.1109/MDM.2015.48(203-212)Online publication date: 15-Jun-2015
https://dl.acm.org/doi/10.1109/MDM.2015.48
Lu YLu JCong GWu WShahabi C(2014)Efficient Algorithms and Cost Models for Reverse Spatial-Keyword k-Nearest Neighbor SearchACM Transactions on Database Systems10.1145/257623239:2(1-46)Online publication date: 26-May-2014
https://dl.acm.org/doi/10.1145/2576232
Show More Cited By

Index Terms

Reverse k-Nearest Neighbor monitoring on mobile objects
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Database query processing
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query processing and optimization (theory)

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Published In

cover image ACM Conferences

GIS '10: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2010

566 pages

ISBN:9781450304283

DOI:10.1145/1869790

General Chairs:
Divyakant Agrawal
University of California at Santa Barbara
,
Pusheng Zhang
Microsoft Corporation
,
Program Chairs:
Amr El Abbadi
University of California, Santa Barbara
,
Mohamed Mokbel
University of Minnesota

Copyright © 2010 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]

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2010

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GIS '10

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SIGSPATIAL

GIS '10: 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2 - 5, 2010

California, San Jose

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

Hidayat ACheema M(2017)QUIET ZONEProceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics10.1145/3152178.3152179(1-8)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3152178.3152179
Ammar KNascimento M(2015)Continuous Median Queries in Wireless Sensor NetworksProceedings of the 2015 16th IEEE International Conference on Mobile Data Management - Volume 0110.1109/MDM.2015.48(203-212)Online publication date: 15-Jun-2015
https://dl.acm.org/doi/10.1109/MDM.2015.48
Lu YLu JCong GWu WShahabi C(2014)Efficient Algorithms and Cost Models for Reverse Spatial-Keyword k-Nearest Neighbor SearchACM Transactions on Database Systems10.1145/257623239:2(1-46)Online publication date: 26-May-2014
https://dl.acm.org/doi/10.1145/2576232
Lee KChoi DChung C(2013)DARTProceedings of the 13th International Symposium on Advances in Spatial and Temporal Databases - Volume 809810.5555/2960717.2960739(295-311)Online publication date: 21-Aug-2013
https://dl.acm.org/doi/10.5555/2960717.2960739
Liu YWong RWang KLi ZChen CChen Z(2013)A new approach for maximizing bichromatic reverse nearest neighbor searchKnowledge and Information Systems10.1007/s10115-012-0527-436:1(23-58)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.1007/s10115-012-0527-4
Du X(2012)Efficient Continuously Top-k Keyword Query for Moving ObjectsProceedings of the 2012 International Conference on Computer Science and Service System10.1109/CSSS.2012.534(2149-2152)Online publication date: 11-Aug-2012
https://dl.acm.org/doi/10.1109/CSSS.2012.534
Cheema MZhang WLin XZhang Y(2012)Efficiently processing snapshot and continuous reverse k nearest neighbors queriesThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-012-0265-y21:5(703-728)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1007/s00778-012-0265-y

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