Authors:
Melanie Schranz
and
Bernhard Rinner
Affiliation:
Alpen-Adria-Universität Klagenfurt, Austria
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.
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