Traffic model evaluation of ad hoc target tracking algorithms

被引：10

作者：

Brooks, RR ^{[1
]}

Griffin, C

机构：

[1] Penn State Univ, Dept Distributed Syst, Appl Res Lab, University Pk, PA 16802 USA

[2] Calif State Univ, Inst Commun Sci & Technol, Monterey, CA USA

来源：

INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS | 2002年 / 16卷 / 03期

关键词：

sensor networks; self-organization; target tracking; cellular automata;

D O I：

10.1177/10943420020160030301

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recent work in traffic planning uses differential equations and cellular automata to determine qualitative and quantitative characteristics of granular media flow. In this paper we describe a self-organizing framework for distributed target tracking built on ad hoc publish-subscribe data routing techniques. A cellular automata model of sensor network dynamics is derived and used to express the routing framework. Experimental evaluation is performed for alternative target-tracking algorithms using the framework. Evaluation uses discrete cellular automata models.

引用

页码：221 / 234

页数：14

共 12 条

[1] [Anonymous], SELFORGANIZATION CIT
[2] Bar-Shalom Y., 1988, Tracking and Data Association
[3] Brooks R.R., 1998, MULTISENSOR FUSION F
[4] Self-organized distributed sensor network entity tracking
Brooks, RR
Griffin, C
Friedlander, DS
[J]. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2002, 16 (03) : 207 - 219
[5] BRUECKNER S, 2000, RETURN AIR SYNTHETIC
[6] CHOWDHURY D, 2000, COMPUTING SCI EN SEP, P80
[7] DELORME M, CELLULAR AUTOMATA PA
[8] Mutambara A.G.O., 1998, Decentralized Estimation and Control for Multisensor Systems, V1st ed.
[9] From particle hopping models to traffic flow theory
Nagel, K
[J]. TRAFFIC FLOW THEORY: SIMULATION MODELS, MACROSCOPIC FLOW RELATIONSHIPS, AND FLOW ESTIMATION AND PREDICTION, 1998, (1644): : 1 - 9
[10] FUSION, PROPAGATION, AND STRUCTURING IN BELIEF NETWORKS
PEARL, J
[J]. ARTIFICIAL INTELLIGENCE, 1986, 29 (03) : 241 - 288

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