Resource-aware State Estimation in Visual Sensor Networks with Dynamic Clustering

Melanie Schranz, Bernhard Rinner

2015

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.

Paper Citation

in Harvard Style

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, pages 15-24. DOI: 10.5220/0005239200150024

in Bibtex Style

@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},
}

in EndNote Style

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