Data Filtering and Aggregation in a Localisation WSN Testbed

Ivo Noppen; Desislava Dimitrova; Torsten Braun

Testbeds and Research Infrastructure. Development of Networks and Communities. 8th International ICST Conference, TridentCom 2012, Thessanoliki, Greece, June 11-13, 2012, Revised Selected Papers

Research Article

Data Filtering and Aggregation in a Localisation WSN Testbed

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@INPROCEEDINGS{10.1007/978-3-642-35576-9_19,
    author={Ivo Noppen and Desislava Dimitrova and Torsten Braun},
    title={Data Filtering and Aggregation in a Localisation WSN Testbed},
    proceedings={Testbeds and Research Infrastructure. Development of Networks and Communities. 8th International ICST Conference, TridentCom 2012, Thessanoliki, Greece, June 11-13, 2012, Revised Selected Papers},
    proceedings_a={TRIDENTCOM},
    year={2012},
    month={12},
    keywords={WSN filtering aggregation WiFi bluetooth},
    doi={10.1007/978-3-642-35576-9_19}
}

Ivo Noppen
Desislava Dimitrova
Torsten Braun
Year: 2012
Data Filtering and Aggregation in a Localisation WSN Testbed
TRIDENTCOM
Springer
DOI: 10.1007/978-3-642-35576-9_19

Ivo Noppen¹^,*, Desislava Dimitrova²^,*, Torsten Braun²^,*

1: Universiteit Twente
2: Universität Bern

*Contact email: i.f.r.noppen@alumnus.utwente.nl, dimitrova@iam.unibe.ch, braun@iam.unibe.ch

Abstract

The main challenge in wireless networks is to optimally use the confined radio resources to support data transfer. This holds for large-scale deployments as well as for small-scale test environments such as test-beds. We investigate two approaches to reduce the radio traffic in a test-bed, namely, filtering of unnecessary data and aggregation of redundant data. Both strategies exploit the fact that, depending on the tested application’s objective, not all data may be of interest. The proposed design solutions indicate that traffic reduction as high as 97% can be achieved in the specific case of test-bed for indoor localisation.

Keywords: WSN filtering aggregation WiFi bluetooth

Published: 2012-12-06

: http://dx.doi.org/10.1007/978-3-642-35576-9_19