Authors:
Abderrahmen Belfkih
;
Bruno Sadeg
;
Claude Duvallet
and
Laurent Amanton
Affiliation:
University of Le Havre, France
Keyword(s):
Wireless Sensor Network, Data Collection, Query Processing, Sensors Database, Time Constraints.
Related
Ontology
Subjects/Areas/Topics:
Scheduling, Tasking and Control
;
Sensor Networks
;
Software and Architectures
Abstract:
The real-time aspect is an important factor for Wireless Sensor Network (WSN) applications, which demand a
timely data delivery, to reflect the current state of the environment. However, most existing works in the field
of sensor networks are only interested in data processing and energy consumption, to improve the lifetime of
WSN. Extensive researches have been done on data processing in WSN. Some works have been interested in
improving data collection methods, and others have focused on various query processing techniques. In recent
years, the query processing using abstract database technology like Cougar and TinyDB have shown efficient
results in many researches. This paper presents a study of timing properties through two data processing
techniques forWSN. The first is based on a warehousing approach, in which data are collected and stored on a
remote database. The second is based on query processing using an abstract database like TinyDB. This study
has allowed us to i
dentify some factors which enhance the respect of temporal constraints.
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