The following technical report is available from
http://aib.informatik.rwth-aachen.de:
Proceedings of the 2nd KuVS Expert Talk on Localization
Mathias Pelka, Grigori Goronzy, Jó Agila Bitsch, Horst Hellbrück, and
Klaus Wehrle (Editors)
AIB 2016-05
Localization is a key technology in the field of medical, industrial and
logistics applications. Especially indoor applications benefit from
localization, e.g. the knowledge, where personnel is required, scarce
resources are available, and goods move. Similarly, autonomous vehicles
require reliable localization information for a wide range of tasks.
Localization information saves time and money and can also save lives in
case of emergency. However, there is no generic solution in near future
that will cover all use cases and all environments.
With the 2nd Expert Talk on Localization we provide a forum for the
presentation and discussion of new research and ideas in a local
setting, bringing together experts and practitioners from academia and
industry. As a result, a considerable amount of time is devoted to
informal and moderated discussions, for instance during the extended
breaks. In addition to traditional localization topics such as radio
based localization, we also aim at novel technologies by encouraging
submissions offering research contributions related to algorithms,
stability and reliability, and applications. The high-quality program
includes numerous contributions, starting with UWB range-based radio
technology approaches, topological simplifications and clustering
schemes, as well as automotive applications, together with visual
localization approaches and fundamental limits of localization.
The following technical report is available from
http://aib.informatik.rwth-aachen.de:
The SensorCloud Protocol: Securely Outsourcing Sensor Data to the Cloud
Martin Henze, René Hummen, Roman Matzutt, and Klaus Wehrle
AIB 2016-06
The increasing deployment of sensor networks, ranging from home networks
to industrial automation, leads to a similarly growing demand for
storing and processing the collected sensor data. To satisfy this
demand, the most promising approach to date is the utilization of the
dynamically scalable, on-demand resources made available via the cloud
computing paradigm. However, prevalent security and privacy concerns are
a huge obstacle for the outsourcing of sensor data to the cloud. Hence,
sensor data needs to be secured properly before it can be outsourced to
the cloud.
When securing the outsourcing of sensor data to the cloud, one important
challenge lies in the representation of sensor data and the choice of
security measures applied to it. In this paper, we present the
SensorCloud protocol, which enables the representation of sensor data
and actuator commands using JSON as well as the encoding of the object
security mechanisms applied to a given sensor data item. Notably, we
solely utilize mechanisms that have been or currently are in the process
of being standardized at the IETF to aid the wide applicability of our
approach.