REAL-TIME DATA ANALYTICS IN SENSOR NETWORKS - Managing and Mining Sensor Data - page 171

Chapter 7

REAL-TIME DATA ANALYTICS
IN SENSOR NETWORKS

Themis Palpanas
University of Trento
Trento, Italy
[e-mail]

Abstract

The proliferation of Wireless Sensor Networks (WSNs) in the past
decade has provided the bridge between the physical and digital worlds,
enabling the monitoring and study of physical phenomena at a granu-
larity and level of detail that was never before possible. In this study,
we review the efforts of the research community with respect to two
important problems in the context of WSNs: real-time collection of the
sensed data, and real-time processing of these data series.

Keywords: Wireless Sensor Networks, Data Collection, Data Analytics, Outliers,
Deviation Detection, Uncertain Data Series, Data-Aware Network Pro-
tocols

1. Introduction
In the past decade, we have witnessed the proliferation of Wireless
Sensor Networks (WSNs), fueled by advances in processor technologies
and wireless communications that led to the development of small, low
cost and power ecient sensor nodes [100, 50, 74]. The great benefit they
provide is that they serve as the bridge between the physical and digital
worlds, and they enable us to monitor and study physical phenomena at
a granularity and level of detail that was never before possible.
Collecting the data sensed by the WSN to a centralized server (the
sink), or being able to directly query the WSN are probably the most
important functionalities that a WSN has to support. Lots of work has
been directed to how to eciently achieve these goals, where the primary