Database Reference
In-Depth Information
Chapter 4
EVENT PROCESSING IN SENSOR
STREAMS
Fusheng Wang
Emory University
Atlanta, GA, USA
fusheng.wang@emory.edu
Chunjie Zhou
Ludong University
Yantai, China
lucyzcj@163.com
Yanming Nie
Northwest Sci-Tech University of Agriculture and Forestry
Yangling, China
yanmingnie@nwsuaf.edu.cn
Abstract
Sensors including RFID tags have been widely deployed for measur-
ing environmental parameters such as temperature, humidity, oxygen
concentration, monitoring the location and velocity of moving objects,
tracking tagged objects, and many others. To support effective, ecient,
and near real-time phenomena probing and objects monitoring, stream-
ingsensordatahavetobegracefullymanagedinaneventprocessing
manner. Different from the traditional events, sensor events come with
temporal or spatio-temporal constraints and can be non-spontaneous.
Meanwhile, like general event streams, sensor event streams can be gen-
erated with very high volumes and rates. Primitive sensor events need
to be filtered, aggregated and correlated to generate more semantically
rich complex events to facilitate the requirements of up-streaming ap-
plications. Motivated by such challenges, many new methods have been
proposed in the past to support event processing in sensor event streams.
In this chapter, we survey state-of-the-art research on event processing
in sensor networks, and provide a broad overview of major topics in
