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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 identify some factors which enhance the respect of temporal constraints.

Study of Timing Properties on Data Collection and Query Processing Techniques in Wireless Sensor Networks