Near-optimal location tracking using sensor networks

Gokarna Sharma, Hari Krishnan, Costas Busch, Steven R. Brandt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We consider the problem of tracking mobile objects using a sensor network. We present a distributed tracking algorithm, called Mobile Object Tracking using Sensors MOT, that scales well with the number of sensors and also with the number of mobile objects. MOT maintains a hierarchical structure of detection lists that can efficiently track mobile objects and resolve object queries at any time. MOT guarantees that the cost to update its data structures will be at most O(min{log n, log D}) times the optimal update cost and query cost will be within O(1) of the optimal query cost in the constant-doubling graph model, where n and D, respectively, are the number of nodes and the diameter of the network. Moreover, MOT achieves polylogarithmic approximations for both costs in the general graph model and performs well in practical scenarios. To our best knowledge, MOT is the first algorithm for this problem in a distributed setting that is traffic-oblivious, i.e. agnostic to a priori knowledge of objects movement patterns, mobility and query rate, etc., and is load balanced.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014
PublisherIEEE Computer Society
Pages737-746
Number of pages10
ISBN (Electronic)9780769552088
DOIs
StatePublished - Nov 27 2014
Externally publishedYes
Event28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014 - Phoenix, United States
Duration: May 19 2014May 23 2014

Publication series

NameProceedings of the International Parallel and Distributed Processing Symposium, IPDPS
ISSN (Print)1530-2075
ISSN (Electronic)2332-1237

Conference

Conference28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014
CountryUnited States
CityPhoenix
Period5/19/145/23/14

Keywords

  • Competitive ratio
  • Hierarchical structure
  • Location Tracking
  • Mobile objects
  • Sensor networks

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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