Database Reference
In-Depth Information
arise during data transmission, and there may also be significant
incompleteness because of limited battery life.
Data Management Issues:
The large volumes of collected data
poses significant challenges for the collected data. Sometimes, the
volume of the data is so large, that it may be impractical to store
the entire raw data, and it may be desirable to either compress
or drop portions of the data. What parts of the data should be
dropped or compressed? The errors and uncertainty in sensor data,
have spurred the development of algorithms for uncertain database
management [2].
Sensor Data Mining and Processing:
The large volumes of
sensor data necessitate the design of ecient one-pass algorithms
which require at most one scan of the data. These are traditionally
referred to as data stream mining algorithms. Furthermore, it
may sometimes be advantageous to perform
in-network processing
,
which can perform partial processing of the data in the network
before sending these results on to a higher level of storage.
Application-Specific Issues:
Sensor data can arise in many do-
mains such as retail data (RFID), military sensor networks, astron-
omy, the environment, and mobile data. Different domains may
lead to different issues in the context of storage and processing.
For example, RFID data may have larger levels of redundancy and
uncertainty, whereas mobile data mining applications may require
spatio-temporal mining techniques.
The different chapters of this topic will study these different aspects of
sensor stream processing. Therefore, the topic will be organized so as
to comprehensively study these different aspects. The different topics
covered by the chapters of this topic are as follows:
Data Collection and Management Issues
The key data collec-
tion and management issues are discussed in Chapter 2. This chapter
discusses some of the key database management aspects, which have
recently been designed in the context of sensor data. Issues involving
data uncertainty and query processing are discussed in this chapter, es-
pecially in the context of sensor data. The area of indexing and query
processing is very important in the context of sensor data, and therefore
we have also designed chapters specifically for this topic.
Query Processing of Sensor Data
Sensor data poses numerous
challenges from the perspective of indexing and query processing, be-
