1 Di?®erence Between Data Management Systems In
Sensor Networks and In Distributed Database Systems
In some applications, by querying and analyzing the perceptible data from
sensors, the targets or areas can be monitored e?®ectively. For example, we
can collect data from disasters, monitor and control the tra?±c in a tra?±c
management system, spy for military purposes, monitor special objects, etc.
In these applications, data are divided into two types. One is static data,
such as data describing characteristics of sensors. The other is dynamic data,
such as perceptible data from sensors. The data set of the perceptible data
is similar with the one in a large distributed database, which needs to be
287
Jinbao Li, Zhipeng Cai, and Jianzhong Li
maintained by a software system. This kind of software system is called a
Data Management System of a sensor network. Di?®erent from traditional
data management methods, it does not integrate perceptible data from all
the sensors to a central node, but processes data within a sensor network (innetwork)
[23, 8]. This reduces the power consumed and extends the lifetime
of a sensor network [1, 19].
The di?®erences between data management systems of sensor networks and
the distributed database systems are remarkable. The first di?®erence is the
network environment. In traditional distributed database systems, data management
and query processing are just applications of the network systems,
and the details of the networks should not be of concern.
Pages:
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464