Q:
When we talk about data relationship, it always refers to the relationship between two entities of a data model. For example, in a traditional data model, a teacher only belongs to a department while a department has many teachers. In this case, the relationship between Teacher with Department is one to many.
But in a WSN database, we regard a sensor note as an entity. That is, there is only a single entity here. The attributes of this entity is classified to two parts, a) the sensing data, including temperature, light, accelerometer, etc. b)the sensor status, such as battery life time, work mode (sleep / active). All these attributes are record in a same row (i.e. tuple). The network acquires the data according to the sample frequency or the query language from application layer to produce data serials.
In a word, the data model in WSN is very simple, just like a basic Excel table. We even can not talk about anything in the data relationship, because there is only one entity. Third, when we come to the data structure that is how to compress, store and optimize the data, we will face a relationship inner data elements.
Would you please let me know what kind of data relationship we will talk about?
A:
Try to analyse the research in broader picture. To find data relationship, you need to set up different experiment concurrently and the raw data, that means those data from CHART.
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