Graphical Model-based Approaches to Target Tracking in Sensor Networks: An Overview of Some Recent Work and Challenges

Murat Uney, Mujdat Cetin

Research output: Contribution to conferencePaperpeer-review

Abstract

Sensor networks have provided a technology base for distributed target tracking applications among others. Conventional centralized approaches to the problem lack scalability in such a scenario where a large number of sensors provide measurements simultaneously under a possibly non-collaborating environment. Therefore research efforts have focused on scalable, robust, and distributed algorithms for the inference tasks related to target tracking, i.e. localization, data association, and track maintenance. Graphical models provide a rigorous tool for development of such algorithms modeling the information structure of a given task and providing distributed solutions through message passing algorithms. However, the limited communication capabilities and energy resources of sensor networks pose the additional difficulty of considering the trade-off between the communication cost and the accuracy of the result. Also the network structure and the information structure are different aspects of the problem and a mapping between the physical entities and the information structure is needed. In this paper we discuss available formalisms based on graphical models for target tracking in sensor networks with a focus on the aforementioned issues. We point out additional constraints that must be asserted in order to achieve further insight and more effective solutions.
Original languageEnglish
Pages492 - 497
Number of pages5
DOIs
Publication statusPublished - 27 Sep 2007
EventInternational Symposium on Image and Signal Processing and Analysis 2007 - Istanbul, Istanbul, Turkey
Duration: 27 Sep 200729 Sep 2007

Conference

ConferenceInternational Symposium on Image and Signal Processing and Analysis 2007
Country/TerritoryTurkey
CityIstanbul
Period27/09/0729/09/07

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