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Authors: Nikhil Padhye 1 ; Long Zuo 2 ; Chilukurii K. Mohan 2 and Pramod K. Varshney 2

Affiliations: 1 Indian Institute of Technology Kanpur, India ; 2 Syracuse University, United States

ISBN: 978-989-674-014-6

Keyword(s): Genetic algorithms, Multi-objective optimization, PCRLB, Sensor networks, Target tracking.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Multiobjective Optimization ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: When large sensor networks are applied to the task of target tracking, it is necessary to successively identify subsets of sensors that are most useful at each time instant. Such a task involves simultaneously maximizing target detection accuracy and minimizing querying cost, addressed in this paper by the application of multi-objective evolutionary algorithms (MOEAs). NSGA-II, a well-known MOEA, is demonstrated to be successful in obtaining diverse solutions (trade-off points), when compared to a ”weighted sum” approach that combines both objectives into a single cost function. We also explore an improvement, LS-DNSGA, which incorporates periodic local search into the algorithm, and outperforms standard NSGA-II on the sensor selection problem.

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Paper citation in several formats:
Padhye N.; Zuo L.; K. Mohan C.; K. Varshney P. and (2009). DYNAMIC AND EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION FOR SENSOR SELECTION IN SENSOR NETWORKS FOR TARGET TRACKING.In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 160-167. DOI: 10.5220/0002324901600167

@conference{icec09,
author={Nikhil Padhye and Long Zuo and Chilukurii {K. Mohan} and Pramod {K. Varshney}},
title={DYNAMIC AND EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION FOR SENSOR SELECTION IN SENSOR NETWORKS FOR TARGET TRACKING},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009)},
year={2009},
pages={160-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002324901600167},
isbn={978-989-674-014-6},
}

TY - CONF

JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009)
TI - DYNAMIC AND EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION FOR SENSOR SELECTION IN SENSOR NETWORKS FOR TARGET TRACKING
SN - 978-989-674-014-6
AU - Padhye, N.
AU - Zuo, L.
AU - K. Mohan, C.
AU - K. Varshney, P.
PY - 2009
SP - 160
EP - 167
DO - 10.5220/0002324901600167

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