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Authors: Melanie Schranz and Bernhard Rinner

Affiliation: Alpen-Adria-Universität Klagenfurt, Austria

ISBN: 978-989-758-086-4

ISSN: 2184-4380

Keyword(s): Visual Sensor Network, Resource Distribution, Wireless Communication, Negotiation Theory, Decentralized Processing.

Related Ontology Subjects/Areas/Topics: Agent Based Modeling and Simulation ; Applications and Uses ; Complex Systems Modeling and Simulation ; Data Manipulation ; Distributed and Collaborative Signal Processing ; Energy Efficiency ; Energy Efficiency and Green Manufacturing ; Environment Monitoring ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Obstacles ; Scheduling, Tasking and Control ; Sensor Data Fusion ; Sensor Networks ; Signal Processing ; Simulation and Modeling ; Simulation Tools and Platforms ; Software and Architectures ; Wireless Surveillance

Abstract: Generally, resource-awareness plays a key role in wireless sensor networks due the limited capabilities in processing, storage and communication. In this paper we present a resource-aware cooperative state estimation facilitated by a dynamic cluster-based protocol in a visual sensor network (VSN). The VSN consists of smart cameras, which process and analyze the captured data locally. We apply a state estimation algorithm to improve the tracking results of the cameras. To design a lightweight protocol, the final aggregation of the observations and state estimation are only performed by the cluster head. Our protocol is based on a marketbased approach in which the cluster head is elected based on the available resources and a visibility parameter of the object gained by the cluster members. We show in simulations that our approach reduces the costs for state estimation and communication as compared to a fully distributed approach. As resource-awareness is the focus of the cluster-based protocol we can accept a slight degradation of the accuracy on the object’s state estimation by a standard deviation of about 1.48 length units to the available ground truth. (More)

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Paper citation in several formats:
Schranz, M. and Rinner, B. (2015). Resource-aware State Estimation in Visual Sensor Networks with Dynamic Clustering.In Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-086-4, ISSN 2184-4380, pages 15-24. DOI: 10.5220/0005239200150024

@conference{sensornets15,
author={Melanie Schranz. and Bernhard Rinner.},
title={Resource-aware State Estimation in Visual Sensor Networks with Dynamic Clustering},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2015},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005239200150024},
isbn={978-989-758-086-4},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Resource-aware State Estimation in Visual Sensor Networks with Dynamic Clustering
SN - 978-989-758-086-4
AU - Schranz, M.
AU - Rinner, B.
PY - 2015
SP - 15
EP - 24
DO - 10.5220/0005239200150024

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