The OpenIoT Approach to Sensor Mobility with Quality-Driven Data Acquisition Management - Interoperability and Open-Source Solutions for the Internet of Things - page 45

The OpenIoT Approach to Sensor Mobility
with Quality-Driven Data Acquisition
Management

B

Ivana Podnar Zarko (

) , Aleksandar Antonic, Martina Marjanovic,
Kresimir Pripuzic, and Lea Skorin-Kapov

Faculty of Electrical Engineering and Computing, University of Zagreb,
Unska 3, 10000 Zagreb, Croatia
[e-mail]

Abstract. Given the prominence of IoT applications integrating mobile
Internet-connected objects (ICOs), e.g., wearable sensors and mobile
devices with built-in sensors, novel solutions are required to discover
and collect data from mobile sensors producing data streams from vary-
ing locations, while taking into account sensor accuracy, energy-eciency,
and potential data redundancy. The OpenIoT platform offers support
for mobile sensors by means of its publish/subscribe middleware solu-
tion entitled CloUd-based Publish/Subscribe middleware for the IoT
(CUPUS). The CUPUS publish/subscribe component is used to col-
lect data from mobile ICOs in a flexible and energy-ecient manner
and to provide preprocessed data into the OpenIoT cloud. Moreover,
CUPUS in collaboration with a Quality of Service (QoS) Manager com-
ponent enables mobility management of ICOs and quality-driven data
acquisition from mobile sensors to satisfy the global sensing coverage
requirements while taking into account data redundancy and ICO bat-
tery lifetime.

· ·

Keywords: Internet of things (IoT) Mobile sensors Publish/subscribe

middleware

1 Introduction

The proliferation of wearable sensors and mobile devices with built-in sensors
creates new challenges for the Internet of Things (IoT) platforms which need to
address specific requirements pertaining to a mobile context, whereby challenges
arise due to the uncontrolled mobility of sensors and mobile end user devices. To
support mobile crowdsensing applications [ 3 ] which naturally generate large vol-
umes of data with varying sensing coverage and density, both in space and time,
there is a need to offer mobility management of ICOs and quality-driven data
acquisition from mobile sensor to satisfy global sensing coverage requirements.
Moreover, challenges arise with respect to data redundancy and varying sensor
accuracy, as well as managing sensor data in an energy- and bandwidth-ecient
manner.
c Springer International Publishing Switzerland 2015